{"id":3478,"date":"2025-05-12T01:09:28","date_gmt":"2025-05-11T22:09:28","guid":{"rendered":"https:\/\/factcheck.lt\/?p=3478"},"modified":"2025-05-12T15:12:22","modified_gmt":"2025-05-12T12:12:22","slug":"","status":"publish","type":"post","link":"https:\/\/factcheck.lt\/eng\/news\/digital_soldiers_youtube_botnets\/","title":{"rendered":"Digital soldiers of disinformation: botnets on Belarusian YouTube","raw":"Digital soldiers of disinformation: botnets on Belarusian YouTube"},"content":{"rendered":"<p>In March 2025, a <a href=\"https:\/\/factcheck.lt\/eng\/news\/youtube_botnet_march2025\/\">study<\/a> was published that revealed extensive botnet activity in comments under Belarusian and international videos on YouTube. At that time, 85,736 comments on 1,132 videos left by 32,326 unique authors were analyzed, and it was discovered that less than 1% of accounts generated almost 12% of all comments, while 39% of videos were subjected to botnet attacks.<br \/>\nIn the new study, the scope of analysis was expanded, processing nearly 100,000 comments from April 2025. To improve the efficiency and accuracy of bot detection, a hybrid RAG (Retrieval Augmented Generation) approach was implemented, which allows combining neural network analysis with search logic from its own knowledge base.<br \/>\nThis approach takes into account various aspects of bot behavior, including:<\/p>\n<ul>\n<li>Behavioral patterns (commenting frequency);<\/li>\n<li>Template phrases and repetitive comments;<\/li>\n<li>Account name structure;<\/li>\n<li>Temporal patterns of activity;<\/li>\n<li>Network connections between bots.<\/li>\n<\/ul>\n<p>Using RAG allowed creating a knowledge base of these patterns and more effectively identifying bots without the freezes characteristic of direct LLM API requests. This provided a more robust and scalable approach to comment analysis, which is especially important when working with large data sets.<br \/>\nThe new analysis identified more than 13,000 comments classified as bots, and more than 3,600 bot authors. These data confirm the continuing activity of botnets in Belarusian YouTube and the need for further monitoring and counteracting such information attacks.<\/p>\n<p><strong>Methodology<\/strong><br \/>\nThe methodology represents a hybrid system combining:<\/p>\n<ul>\n<li>local heuristics (patterns, spam indicators, and tone),<\/li>\n<li>vector search (finding similar comments),<\/li>\n<li>LLM analysis using RAG (enriched with context and examples),<\/li>\n<li>caching (to speed up repeated calls),<\/li>\n<li>two-phase processing (sampling + bulk verification),<\/li>\n<li>automatic generation of reports and visualizations.<\/li>\n<\/ul>\n<p><strong data-start=\"700\" data-end=\"739\">1. Preprocessing and local heuristics<\/strong><\/p>\n<p class=\"\" data-start=\"741\" data-end=\"770\">Each comment is cleaned:<\/p>\n<ul data-start=\"771\" data-end=\"877\">\n<li class=\"\" data-start=\"771\" data-end=\"808\">\n<p class=\"\" data-start=\"773\" data-end=\"808\">URLs, special characters, emojis are removed;<\/p>\n<\/li>\n<li class=\"\" data-start=\"809\" data-end=\"853\">\n<p class=\"\" data-start=\"811\" data-end=\"853\">language detection is performed (ru, ua, by);<\/p>\n<\/li>\n<li class=\"\" data-start=\"854\" data-end=\"877\">\n<p class=\"\" data-start=\"856\" data-end=\"877\">stop words are removed.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"879\" data-end=\"916\">Then <strong data-start=\"897\" data-end=\"915\">pattern analysis<\/strong> is applied:<\/p>\n<ul data-start=\"917\" data-end=\"1134\">\n<li class=\"\" data-start=\"917\" data-end=\"982\">\n<p class=\"\" data-start=\"919\" data-end=\"982\">template phrases, suspicious names, spam indicators are searched for;<\/p>\n<\/li>\n<li class=\"\" data-start=\"983\" data-end=\"1045\">\n<p class=\"\" data-start=\"985\" data-end=\"1045\">each comment is assigned a <code data-start=\"1019\" data-end=\"1030\">bot_score<\/code> from 0.0 to 0.9;<\/p>\n<\/li>\n<li class=\"\" data-start=\"1046\" data-end=\"1134\">\n<p class=\"\" data-start=\"1048\" data-end=\"1134\">if <code data-start=\"1053\" data-end=\"1071\">bot_score >= 0.6<\/code>, the comment is considered an &#8220;obvious bot&#8221; and is marked without LLM.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"1136\" data-end=\"1157\">Pattern examples:<\/p>\n<ul data-start=\"1158\" data-end=\"1326\">\n<li class=\"\" data-start=\"1158\" data-end=\"1201\">\n<p class=\"\" data-start=\"1160\" data-end=\"1201\">Phrases: &#8220;\u0436\u044b\u0432\u0435 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u044c&#8221;, &#8220;\u0434\u0437\u044f\u043a\u0443\u0439 \u0437\u0430 \u043f\u0440\u0430\u0446\u0443&#8221;<\/p>\n<\/li>\n<li class=\"\" data-start=\"1202\" data-end=\"1234\">\n<p class=\"\" data-start=\"1204\" data-end=\"1234\">Names: <code data-start=\"1211\" data-end=\"1221\">user-947<\/code>, <code data-start=\"1223\" data-end=\"1234\">Ivan_1987<\/code><\/p>\n<\/li>\n<li class=\"\" data-start=\"1235\" data-end=\"1326\">\n<p class=\"\" data-start=\"1237\" data-end=\"1326\">Spam: words like &#8220;\u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043e\u043a&#8221;, &#8220;\u0431\u0438\u0442\u043a\u043e\u0438\u043d&#8221;, &#8220;telegram&#8221;<\/p>\n<\/li>\n<\/ul>\n<p><strong>2. Vectorization and RAG-search for similar comments<\/strong><br \/>\nRemaining suspicious comments:<\/p>\n<ul>\n<li>are transformed into embeddings using SentenceTransformer;<\/li>\n<li>a search for nearest neighbors (top-k similar comments) is created for each based on cosine similarity;<\/li>\n<li>these examples are included in the prompt for LLM, enhancing the quality of analysis (this is RAG).<\/li>\n<\/ul>\n<p><strong>3. LLM (GPT) analysis with RAG<\/strong><br \/>\nEach comment is analyzed through a prompt that includes:<\/p>\n<ul>\n<li>meta-information: author, text, heuristics (tone, patterns, spam),<\/li>\n<li>top-3 similar comments and their classifications,<\/li>\n<li>instruction: what to pay attention to (patterns, emotions, relevance, opinion),<\/li>\n<li>clear response format in JSON<\/li>\n<\/ul>\n<p>If GPT doesn&#8217;t respond or returns an error \u2014 a weighted heuristic assessment (patterns + spam + tone) is used.<\/p>\n<p><strong>4. Architecture and optimization<\/strong><\/p>\n<ul data-start=\"2456\" data-end=\"2957\">\n<li class=\"\" data-start=\"2456\" data-end=\"2557\">\n<p class=\"\" data-start=\"2458\" data-end=\"2557\"><strong data-start=\"2458\" data-end=\"2477\">Multithreading<\/strong> (<code data-start=\"2479\" data-end=\"2499\">ThreadPoolExecutor<\/code>) and <strong data-start=\"2503\" data-end=\"2522\">batch processing<\/strong> (25 comments at a time) speed up the analysis.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2558\" data-end=\"2651\">\n<p class=\"\" data-start=\"2560\" data-end=\"2651\">Cache (<code data-start=\"2565\" data-end=\"2576\">diskcache<\/code>) is used at the level of: embeddings, GPT responses, heuristic analyses.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2652\" data-end=\"2763\">\n<p class=\"\" data-start=\"2654\" data-end=\"2763\">Initially, a <strong data-start=\"2675\" data-end=\"2704\">selective training phase<\/strong> (10% of comments) is applied to speed up the mass analysis phase.<\/p>\n<\/li>\n<li class=\"\" data-start=\"2764\" data-end=\"2957\">\n<p class=\"\" data-start=\"2766\" data-end=\"2957\">All results are saved in <code data-start=\"2795\" data-end=\"2801\">.csv<\/code>, and an interactive dashboard with visualizations is generated<\/p>\n<\/li>\n<\/ul>\n<p><strong>Features and novelty of the approach<\/strong><\/p>\n<ul data-start=\"3599\" data-end=\"3931\">\n<li class=\"\" data-start=\"3599\" data-end=\"3681\">\n<p class=\"\" data-start=\"3601\" data-end=\"3681\">Using <strong data-start=\"3615\" data-end=\"3622\">RAG<\/strong> with <strong data-start=\"3625\" data-end=\"3632\">GPT<\/strong> for evaluating comments in Cyrillic languages;<\/p>\n<\/li>\n<li class=\"\" data-start=\"3682\" data-end=\"3762\">\n<p class=\"\" data-start=\"3684\" data-end=\"3762\"><strong data-start=\"3684\" data-end=\"3728\">Automatic enrichment of the pattern base<\/strong>, extracted from <code data-start=\"3745\" data-end=\"3761\">bot_indicators<\/code>;<\/p>\n<\/li>\n<li class=\"\" data-start=\"3763\" data-end=\"3848\">\n<p class=\"\" data-start=\"3765\" data-end=\"3848\"><strong data-start=\"3765\" data-end=\"3785\">Hybrid logic<\/strong>: first maximally fast filters, then precise LLM analysis;<\/p>\n<\/li>\n<li class=\"\" data-start=\"3849\" data-end=\"3931\">\n<p class=\"\" data-start=\"3851\" data-end=\"3931\"><strong data-start=\"3851\" data-end=\"3890\">Reports for fact-checkers and analysts<\/strong>, suitable for publications and presentations.<\/p>\n<\/li>\n<\/ul>\n<p><strong>Source data<\/strong><br \/>\nUsing YouTube API v3, over 104,000 comments were collected from 2,607 videos related to more than 100 pro-democratic channels. After cleaning, 97,870 comments were analyzed.<br \/>\nClassification results:<br \/>\nCreated by bots: 13,777 (14.1%)<br \/>\nCreated by humans: 84,093 (85.9%)<br \/>\nA table of author statuses was created: 32,293 authors, of which bots &#8211; 6,729, and humans &#8211; 25,564. Average number of comments per author: 3.03<br \/>\nDistribution by classification sources:<br \/>\napi: 95,218 comments, of which bots: 12,942 (13.6%)<br \/>\ncache: 2,640 comments, of which bots: 823 (31.2%)<br \/>\npattern: 12 comments, of which bots: 12 (100.0%)<br \/>\nAnalysis of bot scores (threshold = 0.5):<br \/>\nAverage score: 0.208<br \/>\nMedian score: 0.100<br \/>\nComments with high score (>=0.6): 12,809 (13.1%)<br \/>\nScore distribution:<br \/>\n<span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3483\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores.png\" alt=\"\" width=\"645\" height=\"389\"  srcset=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores.png 1683w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores-300x181.png 300w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores-1024x617.png 1024w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores-768x463.png 768w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores-1536x925.png 1536w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores-664x400.png 664w\" sizes=\"(max-width: 645px) 100vw, 645px\" \/><meta itemprop=\"width\" content=\"645\"><meta itemprop=\"height\" content=\"389\"><\/span><br \/>\nThis graph demonstrates a bimodal distribution of bot scores (bot_score). The majority of comments have a low bot_score (around 0.1), which corresponds to regular users. However, there are significant peaks in the range of 0.6-0.9, indicating the presence of bots with a high degree of confidence. The red dotted line at 0.5 marks the classification threshold, above which a comment is considered to be created by a bot. This distribution confirms the effectiveness of the classification algorithm, clearly separating regular users and bots.<\/p>\n<p><strong>Key visualizations<\/strong><br \/>\nNumber of comments vs Bot scores:<br \/>\n<span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3491\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments.png\" alt=\"\" width=\"648\" height=\"515\"  srcset=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments.png 1686w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments-300x239.png 300w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments-1024x814.png 1024w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments-768x611.png 768w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments-1536x1222.png 1536w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments-503x400.png 503w\" sizes=\"(max-width: 648px) 100vw, 648px\" \/><meta itemprop=\"width\" content=\"648\"><meta itemprop=\"height\" content=\"515\"><\/span><br \/>\nThis graph visualizes the relationship between the number of comments by an author and their bot score. Orange dots represent accounts classified as bots (bot_score >= 0.5), blue ones &#8211; as regular users. The size of the dot corresponds to the number of comments. It can be seen that most bots leave a small number of comments (up to 100), but have a high bot_score (0.6-1.0). However, there are also bots that have left hundreds of comments. The red dotted line marks the classification threshold (0.5). The graph shows that real users can be very active (up to 500+ comments), but their bot_score remains low, which confirms the reliability of the detection method.<br \/>\nDistribution of bots by scores and number of comments:<br \/>\n<span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3494\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments.png\" alt=\"\" width=\"671\" height=\"384\"  srcset=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments.png 2460w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments-300x172.png 300w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments-1024x586.png 1024w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments-768x439.png 768w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments-1536x879.png 1536w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments-2048x1171.png 2048w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments-699x400.png 699w\" sizes=\"(max-width: 671px) 100vw, 671px\" \/><meta itemprop=\"width\" content=\"671\"><meta itemprop=\"height\" content=\"384\"><\/span><br \/>\nThis graph shows the frequency distribution of bot_score values only for comments classified as bots (bot_score >= 0.5). It&#8217;s noticeable that the largest number of bot comments have scores around 0.7 and 0.85, forming two distinct peaks. This may indicate two different types of botnets or automated systems with different behavioral characteristics. The presence of comments with bot_score values close to 1.0 indicates that the system has identified comments with a very high probability of belonging to bots, which confirms the accuracy of the classification.<br \/>\nBot authors who made the most comments:<br \/>\n<span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3495\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments.png\" alt=\"\" width=\"643\" height=\"417\"  srcset=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments.png 2226w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments-300x195.png 300w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments-1024x665.png 1024w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments-768x499.png 768w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments-1536x998.png 1536w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments-2048x1330.png 2048w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments-616x400.png 616w\" sizes=\"(max-width: 643px) 100vw, 643px\" \/><meta itemprop=\"width\" content=\"643\"><meta itemprop=\"height\" content=\"417\"><\/span><br \/>\nThis graph illustrates the 20 accounts that left the most comments classified as bot-like. The account @NataliaPetrova leads with approximately 250 comments, which significantly exceeds the activity of the next account on the list (@Dushman) with about 100 comments. There&#8217;s a clear color gradation that allows visually assessing the difference in activity. The top 3 accounts (@NataliaPetrova, @Dushman, and @\u0410\u0417\u042a\u0424\u0420\u0421\u0421\u0421\u0420) demonstrate particularly high activity, which may indicate their priority role in the botnet infrastructure and the need for special monitoring of their activities.<br \/>\nRelationship between number of comments and percentage of bots:<br \/>\n<span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3499\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments.png\" alt=\"\" width=\"664\" height=\"429\"  srcset=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments.png 2400w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments-300x194.png 300w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments-1024x662.png 1024w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments-768x496.png 768w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments-1536x993.png 1536w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments-2048x1324.png 2048w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments-619x400.png 619w\" sizes=\"(max-width: 664px) 100vw, 664px\" \/><meta itemprop=\"width\" content=\"664\"><meta itemprop=\"height\" content=\"429\"><\/span><br \/>\nThis graph shows the relationship between the total number of comments under a video and the percentage of comments from bots. The color scale reflects the number of bots. The red dotted line indicates the average percentage of bots (62.1%) across the entire sample. Interestingly, videos with fewer comments (up to 500) are subject to a higher percentage of bots (up to 90%), while popular videos with a larger number of comments (1500+) usually have a lower percentage of bots (about 20-35%). This may indicate a botnet strategy: they strive to dominate discussions of less popular videos where their influence will be more noticeable, and where it&#8217;s easier for them to &#8220;outshout&#8221; real users.<\/p>\n<p><strong>Videos most subjected to botnet attacks<\/strong><br \/>\n<span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3498\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-scaled.png\" alt=\"\" width=\"729\" height=\"396\"  srcset=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-scaled.png 2560w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-300x163.png 300w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-1024x556.png 1024w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-768x417.png 768w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-1536x834.png 1536w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-2048x1112.png 2048w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-737x400.png 737w\" sizes=\"(max-width: 729px) 100vw, 729px\" \/><meta itemprop=\"width\" content=\"729\"><meta itemprop=\"height\" content=\"396\"><\/span><br \/>\nThe graph in this section presents the distribution of comments between bots (red bars) and humans (turquoise bars) for various videos. The videos most subjected to botnet attacks are those with political content, especially those featuring Lukashenko (&#8220;Lukashenko filed a lawsuit&#8230;&#8221;, &#8220;Lukashenko WENT OFF ON officials&#8230;&#8221;, &#8220;Lukashenko will be in tribunal&#8230;&#8221; etc.).<br \/>\nIt&#8217;s interesting to note that videos with critical or negative content about Lukashenko were most heavily attacked by bots, where the percentage of bot comments reaches 40-50% of the total number. This indicates a targeted strategy of public opinion management &#8211; bots concentrate on videos with potentially negative narratives for the authorities.<br \/>\nAlso notable is the video &#8220;Belarusians debate: why work&#8230;&#8221;, which has the largest absolute number of comments and a high proportion of comments from real people. This may indicate that socio-economic topics generate the greatest natural interest from the audience, making it harder for bots to dominate such discussions.<br \/>\nThe video &#8220;What will now happen with the Baltic states&#8230;&#8221; also attracted significant attention from both bots and real users, indicating high interest in the region&#8217;s geopolitical issues.<br \/>\nOverall, the graph clearly shows that bots are concentrated on politically sensitive topics related to the Belarusian authorities, which confirms the hypothesis about the targeted use of botnets for manipulating public opinion in the Belarusian segment of YouTube.<\/p>\n<p><strong>Bot network visualization<\/strong><br \/>\n7 communities found<br \/>\n<span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3479\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/bot_network.png\" alt=\"\" width=\"529\" height=\"529\"  \/><meta itemprop=\"width\" content=\"529\"><meta itemprop=\"height\" content=\"529\"><\/span><span itemprop=\"image\" itemscope itemtype=\"https:\/\/schema.org\/ImageObject\"><img itemprop=\"url image\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-3489\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs.png\" alt=\"\" width=\"250\" height=\"241\"  srcset=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs.png 1242w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs-300x289.png 300w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs-1024x987.png 1024w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs-768x740.png 768w, https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs-415x400.png 415w\" sizes=\"(max-width: 250px) 100vw, 250px\" \/><meta itemprop=\"width\" content=\"250\"><meta itemprop=\"height\" content=\"241\"><\/span><br \/>\nTop 5 largest communities:<\/p>\n<p>Community 3: 847 bots<br \/>\nCommunity 1: 542 bots<br \/>\nCommunity 0: 424 bots<br \/>\nCommunity 4: 313 bots<br \/>\nCommunity 2: 292 bots<\/p>\n<p>The analysis revealed a moderate but significant presence of bots (14.1%) in the sample of comments. Bots are mainly used to spread political messages and spam. Most active authors are real people.<br \/>\nThe <strong>RAG-Bot Detector<\/strong> system showed high efficiency, successfully analyzing nearly 98,000 comments with a clear separation between bots and humans. Further expansion of the pattern base can accelerate future analyses.<br \/>\nThe results indicate a significant but not critical level of manipulation of public opinion through YouTube comments, which requires continued monitoring and analysis.<\/p>\n<p>\n<i>This publication was developed by a research team under the leadership of Mikhail Doroshevich, PhD.<\/i><\/p>\n","protected":false,"raw":"In March 2025, a <a href=\"https:\/\/factcheck.lt\/eng\/news\/youtube_botnet_march2025\/\">study<\/a> was published that revealed extensive botnet activity in comments under Belarusian and international videos on YouTube. At that time, 85,736 comments on 1,132 videos left by 32,326 unique authors were analyzed, and it was discovered that less than 1% of accounts generated almost 12% of all comments, while 39% of videos were subjected to botnet attacks.\nIn the new study, the scope of analysis was expanded, processing nearly 100,000 comments from April 2025. To improve the efficiency and accuracy of bot detection, a hybrid RAG (Retrieval Augmented Generation) approach was implemented, which allows combining neural network analysis with search logic from its own knowledge base.\nThis approach takes into account various aspects of bot behavior, including:\n<ul>\n \t<li>Behavioral patterns (commenting frequency);<\/li>\n \t<li>Template phrases and repetitive comments;<\/li>\n \t<li>Account name structure;<\/li>\n \t<li>Temporal patterns of activity;<\/li>\n \t<li>Network connections between bots.<\/li>\n<\/ul>\nUsing RAG allowed creating a knowledge base of these patterns and more effectively identifying bots without the freezes characteristic of direct LLM API requests. This provided a more robust and scalable approach to comment analysis, which is especially important when working with large data sets.\nThe new analysis identified more than 13,000 comments classified as bots, and more than 3,600 bot authors. These data confirm the continuing activity of botnets in Belarusian YouTube and the need for further monitoring and counteracting such information attacks.\n\n<strong>Methodology<\/strong>\nThe methodology represents a hybrid system combining:\n<ul>\n \t<li>local heuristics (patterns, spam indicators, and tone),<\/li>\n \t<li>vector search (finding similar comments),<\/li>\n \t<li>LLM analysis using RAG (enriched with context and examples),<\/li>\n \t<li>caching (to speed up repeated calls),<\/li>\n \t<li>two-phase processing (sampling + bulk verification),<\/li>\n \t<li>automatic generation of reports and visualizations.<\/li>\n<\/ul>\n<strong data-start=\"700\" data-end=\"739\">1. Preprocessing and local heuristics<\/strong>\n<p class=\"\" data-start=\"741\" data-end=\"770\">Each comment is cleaned:<\/p>\n\n<ul data-start=\"771\" data-end=\"877\">\n \t<li class=\"\" data-start=\"771\" data-end=\"808\">\n<p class=\"\" data-start=\"773\" data-end=\"808\">URLs, special characters, emojis are removed;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"809\" data-end=\"853\">\n<p class=\"\" data-start=\"811\" data-end=\"853\">language detection is performed (ru, ua, by);<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"854\" data-end=\"877\">\n<p class=\"\" data-start=\"856\" data-end=\"877\">stop words are removed.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"879\" data-end=\"916\">Then <strong data-start=\"897\" data-end=\"915\">pattern analysis<\/strong> is applied:<\/p>\n\n<ul data-start=\"917\" data-end=\"1134\">\n \t<li class=\"\" data-start=\"917\" data-end=\"982\">\n<p class=\"\" data-start=\"919\" data-end=\"982\">template phrases, suspicious names, spam indicators are searched for;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"983\" data-end=\"1045\">\n<p class=\"\" data-start=\"985\" data-end=\"1045\">each comment is assigned a <code data-start=\"1019\" data-end=\"1030\">bot_score<\/code> from 0.0 to 0.9;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1046\" data-end=\"1134\">\n<p class=\"\" data-start=\"1048\" data-end=\"1134\">if <code data-start=\"1053\" data-end=\"1071\">bot_score >= 0.6<\/code>, the comment is considered an \"obvious bot\" and is marked without LLM.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"1136\" data-end=\"1157\">Pattern examples:<\/p>\n\n<ul data-start=\"1158\" data-end=\"1326\">\n \t<li class=\"\" data-start=\"1158\" data-end=\"1201\">\n<p class=\"\" data-start=\"1160\" data-end=\"1201\">Phrases: \"\u0436\u044b\u0432\u0435 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u044c\", \"\u0434\u0437\u044f\u043a\u0443\u0439 \u0437\u0430 \u043f\u0440\u0430\u0446\u0443\"<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1202\" data-end=\"1234\">\n<p class=\"\" data-start=\"1204\" data-end=\"1234\">Names: <code data-start=\"1211\" data-end=\"1221\">user-947<\/code>, <code data-start=\"1223\" data-end=\"1234\">Ivan_1987<\/code><\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1235\" data-end=\"1326\">\n<p class=\"\" data-start=\"1237\" data-end=\"1326\">Spam: words like \"\u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043e\u043a\", \"\u0431\u0438\u0442\u043a\u043e\u0438\u043d\", \"telegram\"<\/p>\n<\/li>\n<\/ul>\n<strong>2. Vectorization and RAG-search for similar comments<\/strong>\nRemaining suspicious comments:\n<ul>\n \t<li>are transformed into embeddings using SentenceTransformer;<\/li>\n \t<li>a search for nearest neighbors (top-k similar comments) is created for each based on cosine similarity;<\/li>\n \t<li>these examples are included in the prompt for LLM, enhancing the quality of analysis (this is RAG).<\/li>\n<\/ul>\n<strong>3. LLM (GPT) analysis with RAG<\/strong>\nEach comment is analyzed through a prompt that includes:\n<ul>\n \t<li>meta-information: author, text, heuristics (tone, patterns, spam),<\/li>\n \t<li>top-3 similar comments and their classifications,<\/li>\n \t<li>instruction: what to pay attention to (patterns, emotions, relevance, opinion),<\/li>\n \t<li>clear response format in JSON<\/li>\n<\/ul>\nIf GPT doesn't respond or returns an error \u2014 a weighted heuristic assessment (patterns + spam + tone) is used.\n\n<strong>4. Architecture and optimization<\/strong>\n<ul data-start=\"2456\" data-end=\"2957\">\n \t<li class=\"\" data-start=\"2456\" data-end=\"2557\">\n<p class=\"\" data-start=\"2458\" data-end=\"2557\"><strong data-start=\"2458\" data-end=\"2477\">Multithreading<\/strong> (<code data-start=\"2479\" data-end=\"2499\">ThreadPoolExecutor<\/code>) and <strong data-start=\"2503\" data-end=\"2522\">batch processing<\/strong> (25 comments at a time) speed up the analysis.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2558\" data-end=\"2651\">\n<p class=\"\" data-start=\"2560\" data-end=\"2651\">Cache (<code data-start=\"2565\" data-end=\"2576\">diskcache<\/code>) is used at the level of: embeddings, GPT responses, heuristic analyses.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2652\" data-end=\"2763\">\n<p class=\"\" data-start=\"2654\" data-end=\"2763\">Initially, a <strong data-start=\"2675\" data-end=\"2704\">selective training phase<\/strong> (10% of comments) is applied to speed up the mass analysis phase.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2764\" data-end=\"2957\">\n<p class=\"\" data-start=\"2766\" data-end=\"2957\">All results are saved in <code data-start=\"2795\" data-end=\"2801\">.csv<\/code>, and an interactive dashboard with visualizations is generated<\/p>\n<\/li>\n<\/ul>\n<strong>Features and novelty of the approach<\/strong>\n<ul data-start=\"3599\" data-end=\"3931\">\n \t<li class=\"\" data-start=\"3599\" data-end=\"3681\">\n<p class=\"\" data-start=\"3601\" data-end=\"3681\">Using <strong data-start=\"3615\" data-end=\"3622\">RAG<\/strong> with <strong data-start=\"3625\" data-end=\"3632\">GPT<\/strong> for evaluating comments in Cyrillic languages;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3682\" data-end=\"3762\">\n<p class=\"\" data-start=\"3684\" data-end=\"3762\"><strong data-start=\"3684\" data-end=\"3728\">Automatic enrichment of the pattern base<\/strong>, extracted from <code data-start=\"3745\" data-end=\"3761\">bot_indicators<\/code>;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3763\" data-end=\"3848\">\n<p class=\"\" data-start=\"3765\" data-end=\"3848\"><strong data-start=\"3765\" data-end=\"3785\">Hybrid logic<\/strong>: first maximally fast filters, then precise LLM analysis;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3849\" data-end=\"3931\">\n<p class=\"\" data-start=\"3851\" data-end=\"3931\"><strong data-start=\"3851\" data-end=\"3890\">Reports for fact-checkers and analysts<\/strong>, suitable for publications and presentations.<\/p>\n<\/li>\n<\/ul>\n<strong>Source data<\/strong>\nUsing YouTube API v3, over 104,000 comments were collected from 2,607 videos related to more than 100 pro-democratic channels. After cleaning, 97,870 comments were analyzed.\nClassification results:\nCreated by bots: 13,777 (14.1%)\nCreated by humans: 84,093 (85.9%)\nA table of author statuses was created: 32,293 authors, of which bots - 6,729, and humans - 25,564. Average number of comments per author: 3.03\nDistribution by classification sources:\napi: 95,218 comments, of which bots: 12,942 (13.6%)\ncache: 2,640 comments, of which bots: 823 (31.2%)\npattern: 12 comments, of which bots: 12 (100.0%)\nAnalysis of bot scores (threshold = 0.5):\nAverage score: 0.208\nMedian score: 0.100\nComments with high score (>=0.6): 12,809 (13.1%)\nScore distribution:\n<img class=\"alignnone  wp-image-3483\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores.png\" alt=\"\" width=\"645\" height=\"389\" \/>\nThis graph demonstrates a bimodal distribution of bot scores (bot_score). The majority of comments have a low bot_score (around 0.1), which corresponds to regular users. However, there are significant peaks in the range of 0.6-0.9, indicating the presence of bots with a high degree of confidence. The red dotted line at 0.5 marks the classification threshold, above which a comment is considered to be created by a bot. This distribution confirms the effectiveness of the classification algorithm, clearly separating regular users and bots.\n\n<strong>Key visualizations<\/strong>\nNumber of comments vs Bot scores:\n<img class=\"alignnone  wp-image-3491\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments.png\" alt=\"\" width=\"648\" height=\"515\" \/>\nThis graph visualizes the relationship between the number of comments by an author and their bot score. Orange dots represent accounts classified as bots (bot_score >= 0.5), blue ones - as regular users. The size of the dot corresponds to the number of comments. It can be seen that most bots leave a small number of comments (up to 100), but have a high bot_score (0.6-1.0). However, there are also bots that have left hundreds of comments. The red dotted line marks the classification threshold (0.5). The graph shows that real users can be very active (up to 500+ comments), but their bot_score remains low, which confirms the reliability of the detection method.\nDistribution of bots by scores and number of comments:\n<img class=\"alignnone  wp-image-3494\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments.png\" alt=\"\" width=\"671\" height=\"384\" \/>\nThis graph shows the frequency distribution of bot_score values only for comments classified as bots (bot_score >= 0.5). It's noticeable that the largest number of bot comments have scores around 0.7 and 0.85, forming two distinct peaks. This may indicate two different types of botnets or automated systems with different behavioral characteristics. The presence of comments with bot_score values close to 1.0 indicates that the system has identified comments with a very high probability of belonging to bots, which confirms the accuracy of the classification.\nBot authors who made the most comments:\n<img class=\"alignnone  wp-image-3495\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments.png\" alt=\"\" width=\"643\" height=\"417\" \/>\nThis graph illustrates the 20 accounts that left the most comments classified as bot-like. The account @NataliaPetrova leads with approximately 250 comments, which significantly exceeds the activity of the next account on the list (@Dushman) with about 100 comments. There's a clear color gradation that allows visually assessing the difference in activity. The top 3 accounts (@NataliaPetrova, @Dushman, and @\u0410\u0417\u042a\u0424\u0420\u0421\u0421\u0421\u0420) demonstrate particularly high activity, which may indicate their priority role in the botnet infrastructure and the need for special monitoring of their activities.\nRelationship between number of comments and percentage of bots:\n<img class=\"alignnone  wp-image-3499\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments.png\" alt=\"\" width=\"664\" height=\"429\" \/>\nThis graph shows the relationship between the total number of comments under a video and the percentage of comments from bots. The color scale reflects the number of bots. The red dotted line indicates the average percentage of bots (62.1%) across the entire sample. Interestingly, videos with fewer comments (up to 500) are subject to a higher percentage of bots (up to 90%), while popular videos with a larger number of comments (1500+) usually have a lower percentage of bots (about 20-35%). This may indicate a botnet strategy: they strive to dominate discussions of less popular videos where their influence will be more noticeable, and where it's easier for them to \"outshout\" real users.\n\n<strong>Videos most subjected to botnet attacks<\/strong>\n<img class=\"alignnone  wp-image-3498\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-scaled.png\" alt=\"\" width=\"729\" height=\"396\" \/>\nThe graph in this section presents the distribution of comments between bots (red bars) and humans (turquoise bars) for various videos. The videos most subjected to botnet attacks are those with political content, especially those featuring Lukashenko (\"Lukashenko filed a lawsuit...\", \"Lukashenko WENT OFF ON officials...\", \"Lukashenko will be in tribunal...\" etc.).\nIt's interesting to note that videos with critical or negative content about Lukashenko were most heavily attacked by bots, where the percentage of bot comments reaches 40-50% of the total number. This indicates a targeted strategy of public opinion management - bots concentrate on videos with potentially negative narratives for the authorities.\nAlso notable is the video \"Belarusians debate: why work...\", which has the largest absolute number of comments and a high proportion of comments from real people. This may indicate that socio-economic topics generate the greatest natural interest from the audience, making it harder for bots to dominate such discussions.\nThe video \"What will now happen with the Baltic states...\" also attracted significant attention from both bots and real users, indicating high interest in the region's geopolitical issues.\nOverall, the graph clearly shows that bots are concentrated on politically sensitive topics related to the Belarusian authorities, which confirms the hypothesis about the targeted use of botnets for manipulating public opinion in the Belarusian segment of YouTube.\n\n<strong>Bot network visualization<\/strong>\n7 communities found\n<img class=\"alignnone  wp-image-3479\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/bot_network.png\" alt=\"\" width=\"529\" height=\"529\" \/><img class=\"alignnone  wp-image-3489\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs.png\" alt=\"\" width=\"250\" height=\"241\" \/>\nTop 5 largest communities:\n\nCommunity 3: 847 bots\nCommunity 1: 542 bots\nCommunity 0: 424 bots\nCommunity 4: 313 bots\nCommunity 2: 292 bots\n\nThe analysis revealed a moderate but significant presence of bots (14.1%) in the sample of comments. Bots are mainly used to spread political messages and spam. Most active authors are real people.\nThe <strong>RAG-Bot Detector<\/strong> system showed high efficiency, successfully analyzing nearly 98,000 comments with a clear separation between bots and humans. Further expansion of the pattern base can accelerate future analyses.\nThe results indicate a significant but not critical level of manipulation of public opinion through YouTube comments, which requires continued monitoring and analysis.\n<p>\n<i>This publication was developed by a research team under the leadership of Mikhail Doroshevich, PhD.<\/i>"},"excerpt":{"rendered":"","protected":false,"raw":""},"author":1,"featured_media":3503,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_ru_post_content":"\u0412 \u043c\u0430\u0440\u0442\u0435 2025 \u0433\u043e\u0434\u0430 \u0431\u044b\u043b\u043e \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d\u043e <a href=\"https:\/\/factcheck.lt\/news\/youtube_botnet_march2025\/\">\u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435<\/a>, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0432\u044b\u044f\u0432\u0438\u043b\u0438 \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u043d\u0443\u044e \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432 \u0432 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f\u0445 \u043f\u043e\u0434 \u0431\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u0438\u043c\u0438 \u0438 \u043c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u044b\u043c\u0438 \u0432\u0438\u0434\u0435\u043e \u043d\u0430 YouTube. \u0422\u043e\u0433\u0434\u0430 \u0431\u044b\u043b\u043e \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043e 85\u202f736 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u043a 1\u202f132 \u0432\u0438\u0434\u0435\u043e, \u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0445 32\u202f326 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u0430\u0432\u0442\u043e\u0440\u0430\u043c\u0438, \u0438 \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0438\u043b\u0438, \u0447\u0442\u043e \u043c\u0435\u043d\u0435\u0435 1% \u0430\u043a\u043a\u0430\u0443\u043d\u0442\u043e\u0432 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u043b\u0438 \u043f\u043e\u0447\u0442\u0438 12% \u0432\u0441\u0435\u0445 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u0430 39% \u0432\u0438\u0434\u0435\u043e \u043f\u043e\u0434\u0432\u0435\u0440\u0433\u0430\u043b\u0438\u0441\u044c \u0430\u0442\u0430\u043a\u0430\u043c \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432.\n\n\u0412 \u043d\u043e\u0432\u043e\u043c \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0438 \u0431\u044b\u043b \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d \u043c\u0430\u0441\u0448\u0442\u0430\u0431 \u0430\u043d\u0430\u043b\u0438\u0437\u0430, \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0430\u0432 \u043f\u043e\u0447\u0442\u0438 100\u202f000 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0437\u0430 \u0430\u043f\u0440\u0435\u043b\u044c 2025 \u0433\u043e\u0434\u0430. \u0414\u043b\u044f \u043f\u043e\u0432\u044b\u0448\u0435\u043d\u0438\u044f \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u0438 \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u0438 \u0434\u0435\u0442\u0435\u043a\u0446\u0438\u0438 \u0431\u043e\u0442\u043e\u0432 \u0431\u044b\u043b \u0432\u043d\u0435\u0434\u0440\u0435\u043d \u0433\u0438\u0431\u0440\u0438\u0434\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 RAG (Retrieval Augmented Generation), \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0441\u043e\u0432\u043c\u0435\u0449\u0430\u0442\u044c \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0432\u043e\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0441 \u043b\u043e\u0433\u0438\u043a\u043e\u0439 \u043f\u043e\u0438\u0441\u043a\u0430 \u043f\u043e \u0441\u043e\u0431\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0439 \u0431\u0430\u0437\u0435 \u0437\u043d\u0430\u043d\u0438\u0439.\n\n\u042d\u0442\u043e\u0442 \u043f\u043e\u0434\u0445\u043e\u0434 \u0443\u0447\u0438\u0442\u044b\u0432\u0430\u0435\u0442 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0430\u0441\u043f\u0435\u043a\u0442\u044b \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u044f \u0431\u043e\u0442\u043e\u0432, \u0432\u043a\u043b\u044e\u0447\u0430\u044f:\n<ul>\n \t<li>\u041f\u043e\u0432\u0435\u0434\u0435\u043d\u0447\u0435\u0441\u043a\u0438\u0435 \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u044b (\u0447\u0430\u0441\u0442\u043e\u0442\u0430 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f);<\/li>\n \t<li>\u0428\u0430\u0431\u043b\u043e\u043d\u043d\u044b\u0435 \u0444\u0440\u0430\u0437\u044b \u0438 \u043f\u043e\u0432\u0442\u043e\u0440\u044f\u044e\u0449\u0438\u0435\u0441\u044f \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0438;<\/li>\n \t<li>\u0421\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443 \u0438\u043c\u0435\u043d \u0430\u043a\u043a\u0430\u0443\u043d\u0442\u043e\u0432;<\/li>\n \t<li>\u0412\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u044b \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438;<\/li>\n \t<li>\u0421\u0435\u0442\u0435\u0432\u044b\u0435 \u0432\u0437\u0430\u0438\u043c\u043e\u0441\u0432\u044f\u0437\u0438 \u043c\u0435\u0436\u0434\u0443 \u0431\u043e\u0442\u0430\u043c\u0438.<\/li>\n<\/ul>\n\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 RAG \u043f\u043e\u0437\u0432\u043e\u043b\u0438\u043b\u043e \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0431\u0430\u0437\u0443 \u0437\u043d\u0430\u043d\u0438\u0439 \u044d\u0442\u0438\u0445 \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u043e\u0432 \u0438 \u0431\u043e\u043b\u0435\u0435 \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e \u0438\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0431\u043e\u0442\u043e\u0432 \u0431\u0435\u0437 \u0437\u0430\u0432\u0438\u0441\u0430\u043d\u0438\u0439, \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u043d\u044b\u0445 \u0434\u043b\u044f \u043f\u0440\u044f\u043c\u044b\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043a API LLM. \u042d\u0442\u043e \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u043b\u043e \u0431\u043e\u043b\u0435\u0435 \u0443\u0441\u0442\u043e\u0439\u0447\u0438\u0432\u044b\u0439 \u0438 \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u0443\u0435\u043c\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u043a \u0430\u043d\u0430\u043b\u0438\u0437\u0443 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u0447\u0442\u043e \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e \u0432\u0430\u0436\u043d\u043e \u043f\u0440\u0438 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u043c\u0430\u0441\u0441\u0438\u0432\u0430\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u0445.\n\n\u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435 \u043d\u043e\u0432\u043e\u0433\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0431\u044b\u043b\u043e \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u043e \u0431\u043e\u043b\u0435\u0435 13\u202f000 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043a\u0430\u043a \u0431\u043e\u0442\u044b, \u0438 \u0431\u043e\u043b\u0435\u0435 3\u202f600 \u0430\u0432\u0442\u043e\u0440\u043e\u0432-\u0431\u043e\u0442\u043e\u0432. \u042d\u0442\u0438 \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u044e\u0442 \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u044e\u0449\u0443\u044e\u0441\u044f \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432 \u0432 \u0431\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u043e\u043c YouTube \u0438 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u044c \u0434\u0430\u043b\u044c\u043d\u0435\u0439\u0448\u0435\u0433\u043e \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430 \u0438 \u043f\u0440\u043e\u0442\u0438\u0432\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0442\u0430\u043a\u0438\u043c \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u043c \u0430\u0442\u0430\u043a\u0430\u043c.\n\n<strong>\u041c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0438\u044f<\/strong>\n\u041c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0438\u044f \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0441\u043e\u0431\u043e\u0439 \u0433\u0438\u0431\u0440\u0438\u0434\u043d\u0443\u044e \u0441\u0438\u0441\u0442\u0435\u043c\u0443, \u0441\u043e\u0447\u0435\u0442\u0430\u044e\u0449\u0443\u044e \u0432 \u0441\u0435\u0431\u0435:\n<ul>\n \t<li>\u043b\u043e\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u043a\u0438 (\u043f\u0430\u0442\u0442\u0435\u0440\u043d\u044b, \u0441\u043f\u0430\u043c-\u0438\u043d\u0434\u0438\u043a\u0430\u0442\u043e\u0440\u044b \u0438 \u0442\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c),<\/li>\n \t<li>\u0432\u0435\u043a\u0442\u043e\u0440\u043d\u044b\u0439 \u043f\u043e\u0438\u0441\u043a (\u043f\u043e\u0438\u0441\u043a \u0441\u0445\u043e\u0436\u0438\u0445 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432),<\/li>\n \t<li>LLM-\u0430\u043d\u0430\u043b\u0438\u0437 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c RAG (\u043e\u0431\u043e\u0433\u0430\u0449\u0451\u043d\u043d\u044b\u0439 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u043e\u043c \u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438),<\/li>\n \t<li>\u043a\u044d\u0448\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 (\u0434\u043b\u044f \u0443\u0441\u043a\u043e\u0440\u0435\u043d\u0438\u044f \u043f\u043e\u0432\u0442\u043e\u0440\u043d\u044b\u0445 \u0432\u044b\u0437\u043e\u0432\u043e\u0432),<\/li>\n \t<li>\u0434\u0432\u0443\u0445\u0444\u0430\u0437\u043d\u0443\u044e \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0443 (\u0432\u044b\u0431\u043e\u0440\u043a\u0430 + \u043c\u0430\u0441\u0441\u043e\u0432\u0430\u044f \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0430),<\/li>\n \t<li>\u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044e \u043e\u0442\u0447\u0451\u0442\u043e\u0432 \u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0439.<\/li>\n<\/ul>\n<strong data-start=\"700\" data-end=\"739\">1. \u041f\u0440\u0435\u0434\u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0438 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u044b\u0435 \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u043a\u0438<\/strong>\n<p class=\"\" data-start=\"741\" data-end=\"770\">\u041a\u0430\u0436\u0434\u044b\u0439 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043e\u0447\u0438\u0449\u0430\u0435\u0442\u0441\u044f:<\/p>\n\n<ul data-start=\"771\" data-end=\"877\">\n \t<li class=\"\" data-start=\"771\" data-end=\"808\">\n<p class=\"\" data-start=\"773\" data-end=\"808\">\u0443\u0434\u0430\u043b\u044f\u044e\u0442\u0441\u044f URL, \u0441\u043f\u0435\u0446\u0441\u0438\u043c\u0432\u043e\u043b\u044b, \u044d\u043c\u043e\u0434\u0437\u0438;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"809\" data-end=\"853\">\n<p class=\"\" data-start=\"811\" data-end=\"853\">\u043f\u0440\u043e\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u044f\u0437\u044b\u043a\u0430 (ru, ua, by);<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"854\" data-end=\"877\">\n<p class=\"\" data-start=\"856\" data-end=\"877\">\u0443\u0431\u0438\u0440\u0430\u044e\u0442\u0441\u044f \u0441\u0442\u043e\u043f-\u0441\u043b\u043e\u0432\u0430.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"879\" data-end=\"916\">\u0417\u0430\u0442\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f <strong data-start=\"897\" data-end=\"915\">\u043f\u0430\u0442\u0442\u0435\u0440\u043d-\u0430\u043d\u0430\u043b\u0438\u0437<\/strong>:<\/p>\n\n<ul data-start=\"917\" data-end=\"1134\">\n \t<li class=\"\" data-start=\"917\" data-end=\"982\">\n<p class=\"\" data-start=\"919\" data-end=\"982\">\u0438\u0449\u0443\u0442\u0441\u044f \u0448\u0430\u0431\u043b\u043e\u043d\u043d\u044b\u0435 \u0444\u0440\u0430\u0437\u044b, \u043f\u043e\u0434\u043e\u0437\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0438\u043c\u0435\u043d\u0430, \u0438\u043d\u0434\u0438\u043a\u0430\u0442\u043e\u0440\u044b \u0441\u043f\u0430\u043c\u0430;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"983\" data-end=\"1045\">\n<p class=\"\" data-start=\"985\" data-end=\"1045\">\u043a\u0430\u0436\u0434\u043e\u043c\u0443 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044e \u043f\u0440\u0438\u0441\u0432\u0430\u0438\u0432\u0430\u0435\u0442\u0441\u044f <code data-start=\"1019\" data-end=\"1030\">bot_score<\/code> \u043e\u0442 0.0 \u0434\u043e 0.9;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1046\" data-end=\"1134\">\n<p class=\"\" data-start=\"1048\" data-end=\"1134\">\u0435\u0441\u043b\u0438 <code data-start=\"1053\" data-end=\"1071\">bot_score &gt;= 0.6<\/code>, \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0441\u0447\u0438\u0442\u0430\u0435\u0442\u0441\u044f \u00ab\u043e\u0447\u0435\u0432\u0438\u0434\u043d\u044b\u043c \u0431\u043e\u0442\u043e\u043c\u00bb \u0438 \u043f\u043e\u043c\u0435\u0447\u0430\u0435\u0442\u0441\u044f \u0431\u0435\u0437 LLM.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"1136\" data-end=\"1157\">\u041f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u043e\u0432:<\/p>\n\n<ul data-start=\"1158\" data-end=\"1326\">\n \t<li class=\"\" data-start=\"1158\" data-end=\"1201\">\n<p class=\"\" data-start=\"1160\" data-end=\"1201\">\u0424\u0440\u0430\u0437\u044b: \u00ab\u0436\u044b\u0432\u0435 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u044c\u00bb, \u00ab\u0434\u0437\u044f\u043a\u0443\u0439 \u0437\u0430 \u043f\u0440\u0430\u0446\u0443\u00bb<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1202\" data-end=\"1234\">\n<p class=\"\" data-start=\"1204\" data-end=\"1234\">\u0418\u043c\u0435\u043d\u0430: <code data-start=\"1211\" data-end=\"1221\">user-947<\/code>, <code data-start=\"1223\" data-end=\"1234\">Ivan_1987<\/code><\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1235\" data-end=\"1326\">\n<p class=\"\" data-start=\"1237\" data-end=\"1326\">\u0421\u043f\u0430\u043c: \u0441\u043b\u043e\u0432\u0430 \u0442\u0438\u043f\u0430 \"\u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043e\u043a\", \"\u0431\u0438\u0442\u043a\u043e\u0438\u043d\", \"telegram\"<\/p>\n<\/li>\n<\/ul>\n<strong>2. \u0412\u0435\u043a\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u044f \u0438 RAG-\u043f\u043e\u0438\u0441\u043a \u0441\u0445\u043e\u0436\u0438\u0445 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432<\/strong>\n\u041e\u0441\u0442\u0430\u0432\u0448\u0438\u0435\u0441\u044f \u043f\u043e\u0434\u043e\u0437\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0438:\n<ul>\n \t<li>\u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u0443\u044e\u0442\u0441\u044f \u0432 \u044d\u043c\u0431\u0435\u0434\u0434\u0438\u043d\u0433\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e SentenceTransformer;<\/li>\n \t<li>\u043d\u0430 \u043a\u0430\u0436\u0434\u044b\u0439 \u0441\u043e\u0437\u0434\u0430\u0451\u0442\u0441\u044f \u043f\u043e\u0438\u0441\u043a \u0431\u043b\u0438\u0436\u0430\u0439\u0448\u0438\u0445 \u0441\u043e\u0441\u0435\u0434\u0435\u0439 (top-k \u043f\u043e\u0445\u043e\u0436\u0438\u0445 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u043e\u0432) \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043a\u043e\u0441\u0438\u043d\u0443\u0441\u043d\u043e\u0433\u043e \u0441\u0445\u043e\u0434\u0441\u0442\u0432\u0430;<\/li>\n \t<li>\u044d\u0442\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442\u0441\u044f \u0432 prompt \u0434\u043b\u044f LLM, \u0443\u0441\u0438\u043b\u0438\u0432\u0430\u044f \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430 (\u044d\u0442\u043e \u0438 \u0435\u0441\u0442\u044c RAG).<\/li>\n<\/ul>\n<strong>3. \u0410\u043d\u0430\u043b\u0438\u0437 LLM (GPT) \u0441 RAG<\/strong>\n\u041a\u0430\u0436\u0434\u044b\u0439 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0447\u0435\u0440\u0435\u0437 prompt, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0449\u0438\u0439:\n<ul>\n \t<li>\u043c\u0435\u0442\u0430\u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e: \u0430\u0432\u0442\u043e\u0440, \u0442\u0435\u043a\u0441\u0442, \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u043a\u0438 (\u0442\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c, \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u044b, \u0441\u043f\u0430\u043c),<\/li>\n \t<li>\u0442\u043e\u043f-3 \u043f\u043e\u0445\u043e\u0436\u0438\u0445 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f \u0438 \u0438\u0445 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438,<\/li>\n \t<li>\u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u044f: \u043d\u0430 \u0447\u0442\u043e \u043e\u0431\u0440\u0430\u0449\u0430\u0442\u044c \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435 (\u0448\u0430\u0431\u043b\u043e\u043d\u043d\u043e\u0441\u0442\u044c, \u044d\u043c\u043e\u0446\u0438\u0438, \u0440\u0435\u043b\u0435\u0432\u0430\u043d\u0442\u043d\u043e\u0441\u0442\u044c, \u043c\u043d\u0435\u043d\u0438\u0435),<\/li>\n \t<li>\u0447\u0451\u0442\u043a\u0438\u0439 \u0444\u043e\u0440\u043c\u0430\u0442 \u043e\u0442\u0432\u0435\u0442\u0430 \u0432 JSON<\/li>\n<\/ul>\n\u0415\u0441\u043b\u0438 GPT \u043d\u0435 \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442 \u0438\u043b\u0438 \u0432\u044b\u0434\u0430\u0451\u0442 \u043e\u0448\u0438\u0431\u043a\u0443 \u2014 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0432\u0437\u0432\u0435\u0448\u0435\u043d\u043d\u0430\u044f \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u043e\u0446\u0435\u043d\u043a\u0430 (\u043f\u0430\u0442\u0442\u0435\u0440\u043d\u044b + \u0441\u043f\u0430\u043c + \u0442\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c).\n\n<strong>4. \u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 \u0438 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f<\/strong>\n<ul data-start=\"2456\" data-end=\"2957\">\n \t<li class=\"\" data-start=\"2456\" data-end=\"2557\">\n<p class=\"\" data-start=\"2458\" data-end=\"2557\"><strong data-start=\"2458\" data-end=\"2477\">\u041c\u043d\u043e\u0433\u043e\u043f\u043e\u0442\u043e\u0447\u043d\u043e\u0441\u0442\u044c<\/strong> (<code data-start=\"2479\" data-end=\"2499\">ThreadPoolExecutor<\/code>) \u0438 <strong data-start=\"2503\" data-end=\"2522\">batch-\u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430<\/strong> (\u043f\u043e 25 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u043e\u0432) \u0443\u0441\u043a\u043e\u0440\u044f\u044e\u0442 \u0430\u043d\u0430\u043b\u0438\u0437.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2558\" data-end=\"2651\">\n<p class=\"\" data-start=\"2560\" data-end=\"2651\">\u041a\u044d\u0448 (<code data-start=\"2565\" data-end=\"2576\">diskcache<\/code>) \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u043d\u0430 \u0443\u0440\u043e\u0432\u043d\u0435: \u044d\u043c\u0431\u0435\u0434\u0434\u0438\u043d\u0433\u043e\u0432, GPT-\u043e\u0442\u0432\u0435\u0442\u043e\u0432, \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0430\u043d\u0430\u043b\u0438\u0437\u043e\u0432.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2652\" data-end=\"2763\">\n<p class=\"\" data-start=\"2654\" data-end=\"2763\">\u0412 \u043d\u0430\u0447\u0430\u043b\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f <strong data-start=\"2675\" data-end=\"2704\">\u0432\u044b\u0431\u043e\u0440\u043e\u0447\u043d\u0430\u044f \u043e\u0431\u0443\u0447\u0430\u044e\u0449\u0430\u044f \u0444\u0430\u0437\u0430<\/strong> (10% \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432), \u0447\u0442\u043e\u0431\u044b \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u044c \u0444\u0430\u0437\u0443 \u043c\u0430\u0441\u0441\u043e\u0432\u043e\u0433\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2764\" data-end=\"2957\">\n<p class=\"\" data-start=\"2766\" data-end=\"2957\">\u0412\u0441\u0435 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u044e\u0442\u0441\u044f \u0432 <code data-start=\"2795\" data-end=\"2801\">.csv<\/code>, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u044b\u0439 \u0434\u0430\u0448\u0431\u043e\u0440\u0434 \u0441 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f\u043c\u0438<\/p>\n<\/li>\n<\/ul>\n<strong>\u041e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u0438 \u0438 \u043d\u043e\u0432\u0438\u0437\u043d\u0430 \u043f\u043e\u0434\u0445\u043e\u0434\u0430<\/strong>\n<ul data-start=\"3599\" data-end=\"3931\">\n \t<li class=\"\" data-start=\"3599\" data-end=\"3681\">\n<p class=\"\" data-start=\"3601\" data-end=\"3681\">\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 <strong data-start=\"3615\" data-end=\"3622\">RAG<\/strong> \u0441 <strong data-start=\"3625\" data-end=\"3632\">GPT<\/strong> \u0434\u043b\u044f \u043e\u0446\u0435\u043d\u043a\u0438 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u043d\u0430 \u043a\u0438\u0440\u0438\u043b\u043b\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u044f\u0437\u044b\u043a\u0430\u0445;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3682\" data-end=\"3762\">\n<p class=\"\" data-start=\"3684\" data-end=\"3762\"><strong data-start=\"3684\" data-end=\"3728\">\u0410\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043e\u0431\u043e\u0433\u0430\u0449\u0435\u043d\u0438\u0435 \u0431\u0430\u0437\u044b \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u043e\u0432<\/strong>, \u0438\u0437\u0432\u043b\u0435\u0447\u0451\u043d\u043d\u044b\u0445 \u0438\u0437 <code data-start=\"3745\" data-end=\"3761\">bot_indicators<\/code>;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3763\" data-end=\"3848\">\n<p class=\"\" data-start=\"3765\" data-end=\"3848\"><strong data-start=\"3765\" data-end=\"3785\">\u0413\u0438\u0431\u0440\u0438\u0434\u043d\u0430\u044f \u043b\u043e\u0433\u0438\u043a\u0430<\/strong>: \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0431\u044b\u0441\u0442\u0440\u044b\u0435 \u0444\u0438\u043b\u044c\u0442\u0440\u044b, \u0437\u0430\u0442\u0435\u043c \u0442\u043e\u0447\u043d\u044b\u0439 LLM-\u0430\u043d\u0430\u043b\u0438\u0437;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3849\" data-end=\"3931\">\n<p class=\"\" data-start=\"3851\" data-end=\"3931\"><strong data-start=\"3851\" data-end=\"3890\">\u041e\u0442\u0447\u0451\u0442\u044b \u0434\u043b\u044f \u0444\u0430\u043a\u0442\u0447\u0435\u043a\u0435\u0440\u043e\u0432 \u0438 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u043e\u0432<\/strong>, \u043f\u0440\u0438\u0433\u043e\u0434\u043d\u044b\u0435 \u0434\u043b\u044f \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0439 \u0438 \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u0439.<\/p>\n<\/li>\n<\/ul>\n<strong>\u0418\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435<\/strong>\n\u0418\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f YouTube API v3, \u0443 2607 \u0432\u0438\u0434\u0435\u043e \u043e\u0442\u043d\u043e\u0441\u044f\u0449\u0438\u0445\u0441\u044f \u043a \u0431\u043e\u043b\u0435\u0435 \u0447\u0435\u043c 100 \u043f\u0440\u043e\u0434\u0435\u043c\u043e\u043a\u0440\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u043a\u0430\u043d\u0430\u043b\u0430\u043c \u0431\u044b\u043b\u043e \u0441\u043e\u0431\u0440\u0430\u043d\u043e \u0431\u043e\u043b\u0435\u0435 104 000 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432. \u041f\u043e\u0441\u043b\u0435 \u043e\u0447\u0438\u0441\u0442\u043a\u0438 \u0431\u044b\u043b\u043e \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043e 97 870 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432.\n\n\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438:\n\u0421\u043e\u0437\u0434\u0430\u043d\u044b \u0431\u043e\u0442\u0430\u043c\u0438: 13777 (14.1%)\n\u0421\u043e\u0437\u0434\u0430\u043d\u044b \u043b\u044e\u0434\u044c\u043c\u0438: 84093 (85.9%)\n\n\u0421\u043e\u0437\u0434\u0430\u043d\u0430 \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u0441\u0442\u0430\u0442\u0443\u0441\u043e\u0432 \u0430\u0432\u0442\u043e\u0440\u043e\u0432: 32293 \u0430\u0432\u0442\u043e\u0440\u043e\u0432 \u0438\u0437 \u043d\u0438\u0445 \u0431\u043e\u0442\u043e\u0432 - 6729, \u0430 \u043b\u044e\u0434\u0435\u0439 - 25564. \u0421\u0440\u0435\u0434\u043d\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u043d\u0430 \u0430\u0432\u0442\u043e\u0440\u0430: 3.03\n\n\u0420\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043f\u043e \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430\u043c \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438:\napi: 95218 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u0438\u0437 \u043d\u0438\u0445 \u0431\u043e\u0442\u043e\u0432: 12942 (13.6%)\ncache: 2640 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u0438\u0437 \u043d\u0438\u0445 \u0431\u043e\u0442\u043e\u0432: 823 (31.2%)\npattern: 12 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u0438\u0437 \u043d\u0438\u0445 \u0431\u043e\u0442\u043e\u0432: 12 (100.0%)\n\u0410\u043d\u0430\u043b\u0438\u0437 \u0441\u043a\u043e\u0440\u043e\u0432 \u0431\u043e\u0442\u043e\u0432 (\u043f\u043e\u0440\u043e\u0433 = 0.5):\n\u0421\u0440\u0435\u0434\u043d\u0438\u0439 \u0441\u043a\u043e\u0440: 0.208\n\u041c\u0435\u0434\u0438\u0430\u043d\u043d\u044b\u0439 \u0441\u043a\u043e\u0440: 0.100\n\u041a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0441 \u0432\u044b\u0441\u043e\u043a\u0438\u043c \u0441\u043a\u043e\u0440\u043e\u043c (&gt;=0.6): 12809 (13.1%)\n\n\u0420\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0441\u043a\u043e\u0440\u043e\u0432:\n\n<img class=\"alignnone  wp-image-3483\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores.png\" alt=\"\" width=\"645\" height=\"389\" \/>\n\n\u0414\u0430\u043d\u043d\u044b\u0439 \u0433\u0440\u0430\u0444\u0438\u043a \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442 \u0431\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u043e\u0435 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043e\u0446\u0435\u043d\u043e\u043a \u0431\u043e\u0442\u043e\u0432 (bot_score). \u041e\u0441\u043d\u043e\u0432\u043d\u0430\u044f \u043c\u0430\u0441\u0441\u0430 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0438\u043c\u0435\u0435\u0442 \u043d\u0438\u0437\u043a\u0438\u0439 bot_score (\u043e\u043a\u043e\u043b\u043e 0.1), \u0447\u0442\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u043e\u0431\u044b\u0447\u043d\u044b\u043c \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f\u043c. \u041e\u0434\u043d\u0430\u043a\u043e \u0437\u0430\u043c\u0435\u0442\u043d\u044b \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u043f\u0438\u043a\u0438 \u0432 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d\u0435 0.6-0.9, \u0447\u0442\u043e \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0430 \u043d\u0430\u043b\u0438\u0447\u0438\u0435 \u0431\u043e\u0442\u043e\u0432 \u0441 \u0432\u044b\u0441\u043e\u043a\u043e\u0439 \u0441\u0442\u0435\u043f\u0435\u043d\u044c\u044e \u0443\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0441\u0442\u0438. \u041a\u0440\u0430\u0441\u043d\u0430\u044f \u043f\u0443\u043d\u043a\u0442\u0438\u0440\u043d\u0430\u044f \u043b\u0438\u043d\u0438\u044f \u043d\u0430 \u043e\u0442\u043c\u0435\u0442\u043a\u0435 0.5 \u043e\u0431\u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442 \u043f\u043e\u0440\u043e\u0433 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438, \u0432\u044b\u0448\u0435 \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0441\u0447\u0438\u0442\u0430\u0435\u0442\u0441\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u043d\u044b\u043c \u0431\u043e\u0442\u043e\u043c. \u0422\u0430\u043a\u043e\u0435 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u0435\u0442 \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u0430 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438, \u0447\u0435\u0442\u043a\u043e \u0440\u0430\u0437\u0434\u0435\u043b\u044f\u044e\u0449\u0435\u0433\u043e \u043e\u0431\u044b\u0447\u043d\u044b\u0445 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0438 \u0431\u043e\u0442\u043e\u0432.\n\n<strong>\u041a\u043b\u044e\u0447\u0435\u0432\u044b\u0435 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438<\/strong>\n\n\u041a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 vs \u041e\u0446\u0435\u043d\u043a\u0438 \u0431\u043e\u0442\u043e\u0432:\n\n<img class=\"alignnone  wp-image-3491\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments.png\" alt=\"\" width=\"648\" height=\"515\" \/>\n\n\u041d\u0430 \u044d\u0442\u043e\u043c \u0433\u0440\u0430\u0444\u0438\u043a\u0435 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0430 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u044c \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0430\u0432\u0442\u043e\u0440\u0430 \u0438 \u0435\u0433\u043e \u043e\u0446\u0435\u043d\u043a\u043e\u0439 \u0431\u043e\u0442\u0430. \u041e\u0440\u0430\u043d\u0436\u0435\u0432\u044b\u0435 \u0442\u043e\u0447\u043a\u0438 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442 \u0430\u043a\u043a\u0430\u0443\u043d\u0442\u044b, \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u043a\u0430\u043a \u0431\u043e\u0442\u044b (bot_score >= 0.5), \u0441\u0438\u043d\u0438\u0435 - \u043a\u0430\u043a \u043e\u0431\u044b\u0447\u043d\u044b\u0435 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0438. \u0420\u0430\u0437\u043c\u0435\u0440 \u0442\u043e\u0447\u043a\u0438 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u0435\u0442 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0443 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432. \u0412\u0438\u0434\u043d\u043e, \u0447\u0442\u043e \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e \u0431\u043e\u0442\u043e\u0432 \u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u043d\u0435\u0431\u043e\u043b\u044c\u0448\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 (\u0434\u043e 100), \u043d\u043e \u0438\u043c\u0435\u0435\u0442 \u0432\u044b\u0441\u043e\u043a\u0438\u0439 bot_score (0.6-1.0). \u041e\u0434\u043d\u0430\u043a\u043e \u0435\u0441\u0442\u044c \u0438 \u0431\u043e\u0442\u044b, \u043e\u0441\u0442\u0430\u0432\u0438\u0432\u0448\u0438\u0435 \u0441\u043e\u0442\u043d\u0438 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432. \u041a\u0440\u0430\u0441\u043d\u0430\u044f \u043f\u0443\u043d\u043a\u0442\u0438\u0440\u043d\u0430\u044f \u043b\u0438\u043d\u0438\u044f \u043e\u0442\u043c\u0435\u0447\u0430\u0435\u0442 \u043f\u043e\u0440\u043e\u0433 \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 (0.5). \u0413\u0440\u0430\u0444\u0438\u043a \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u0447\u0442\u043e \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0438\u0435 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u043e\u0447\u0435\u043d\u044c \u0430\u043a\u0442\u0438\u0432\u043d\u044b\u043c\u0438 (\u0434\u043e 500+ \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432), \u043d\u043e \u0438\u0445 bot_score \u043e\u0441\u0442\u0430\u0435\u0442\u0441\u044f \u043d\u0438\u0437\u043a\u0438\u043c, \u0447\u0442\u043e \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u0435\u0442 \u043d\u0430\u0434\u0435\u0436\u043d\u043e\u0441\u0442\u044c \u043c\u0435\u0442\u043e\u0434\u0430 \u0434\u0435\u0442\u0435\u043a\u0446\u0438\u0438.\n\n\u0420\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0431\u043e\u0442\u043e\u0432 \u043f\u043e \u0441\u043a\u043e\u0440\u0430\u043c \u0438 \u0447\u0438\u0441\u043b\u0443 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432:\n\n<img class=\"alignnone  wp-image-3494\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments.png\" alt=\"\" width=\"671\" height=\"384\" \/>\n\n\u0414\u0430\u043d\u043d\u044b\u0439 \u0433\u0440\u0430\u0444\u0438\u043a \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0447\u0430\u0441\u0442\u043e\u0442\u043d\u043e\u0435 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 bot_score \u0442\u043e\u043b\u044c\u043a\u043e \u0434\u043b\u044f \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043a\u0430\u043a \u0431\u043e\u0442\u044b (bot_score >= 0.5). \u0417\u0430\u043c\u0435\u0442\u043d\u043e, \u0447\u0442\u043e \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0431\u043e\u0442-\u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0438\u043c\u0435\u0435\u0442 \u043e\u0446\u0435\u043d\u043a\u0438 \u043e\u043a\u043e\u043b\u043e 0.7 \u0438 0.85, \u0447\u0442\u043e \u0444\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u0442 \u0434\u0432\u0430 \u0432\u044b\u0440\u0430\u0436\u0435\u043d\u043d\u044b\u0445 \u043f\u0438\u043a\u0430. \u042d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0442\u044c \u043d\u0430 \u0434\u0432\u0430 \u0440\u0430\u0437\u043d\u044b\u0445 \u0442\u0438\u043f\u0430 \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432 \u0438\u043b\u0438 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u0441 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u043c\u0438 \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0430\u043c\u0438 \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u044f. \u041d\u0430\u043b\u0438\u0447\u0438\u0435 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0441\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c\u0438 bot_score, \u0431\u043b\u0438\u0437\u043a\u0438\u043c\u0438 \u043a 1.0, \u0433\u043e\u0432\u043e\u0440\u0438\u0442 \u043e \u0442\u043e\u043c, \u0447\u0442\u043e \u0441\u0438\u0441\u0442\u0435\u043c\u0430 \u0432\u044b\u044f\u0432\u0438\u043b\u0430 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0438 \u0441 \u043e\u0447\u0435\u043d\u044c \u0432\u044b\u0441\u043e\u043a\u043e\u0439 \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u044c\u044e \u043f\u0440\u0438\u043d\u0430\u0434\u043b\u0435\u0436\u043d\u043e\u0441\u0442\u0438 \u043a \u0431\u043e\u0442\u0430\u043c, \u0447\u0442\u043e \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u0435\u0442 \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u044c \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438.\n\n\u0411\u043e\u0442\u044b-\u0430\u0432\u0442\u043e\u0440\u044b, \u043a\u043e\u0442\u043e\u0440\u044b\u0435\u00a0 \u0441\u0434\u0435\u043b\u0430\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u0435 \u0432\u0441\u0435\u0433\u043e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432:\n\n<img class=\"alignnone  wp-image-3495\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments.png\" alt=\"\" width=\"643\" height=\"417\" \/>\n\n\u0413\u0440\u0430\u0444\u0438\u043a \u0438\u043b\u043b\u044e\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442 20 \u0430\u043a\u043a\u0430\u0443\u043d\u0442\u043e\u0432, \u043e\u0441\u0442\u0430\u0432\u0438\u0432\u0448\u0438\u0445 \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432, \u043a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u043a\u0430\u043a \u0431\u043e\u0442\u0441\u043a\u0438\u0435. \u041b\u0438\u0434\u0438\u0440\u0443\u0435\u0442 \u0430\u043a\u043a\u0430\u0443\u043d\u0442 @NataliaPetrova \u0441 \u043f\u0440\u0438\u0431\u043b\u0438\u0437\u0438\u0442\u0435\u043b\u044c\u043d\u043e 250 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f\u043c\u0438, \u0447\u0442\u043e \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043f\u0440\u0435\u0432\u044b\u0448\u0430\u0435\u0442 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u043f\u043e \u0441\u043f\u0438\u0441\u043a\u0443 \u0430\u043a\u043a\u0430\u0443\u043d\u0442\u0430 (@Dushman) \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043d\u043e 100 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f\u043c\u0438. \u0417\u0430\u043c\u0435\u0442\u043d\u0430 \u044f\u0432\u043d\u0430\u044f \u0433\u0440\u0430\u0434\u0430\u0446\u0438\u044f \u0446\u0432\u0435\u0442\u043e\u0432, \u0447\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e \u043e\u0446\u0435\u043d\u0438\u0442\u044c \u0440\u0430\u0437\u043d\u0438\u0446\u0443 \u0432 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438. \u0422\u043e\u043f-3 \u0430\u043a\u043a\u0430\u0443\u043d\u0442\u0430 (@NataliaPetrova, @Dushman \u0438 @\u0410\u0417\u042a\u0424\u0420\u0421\u0421\u0421\u0420) \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u044e\u0442 \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c, \u0447\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0442\u044c \u043d\u0430 \u0438\u0445 \u043f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442\u043d\u0443\u044e \u0440\u043e\u043b\u044c \u0432 \u0431\u043e\u0442\u043d\u0435\u0442-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0435 \u0438 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u044c \u043e\u0441\u043e\u0431\u043e\u0433\u043e \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430 \u0438\u0445 \u0434\u0435\u044f\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438.\n\n\u0412\u0437\u0430\u0438\u043c\u043e\u0441\u0432\u044f\u0437\u044c \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0438 \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u043e\u043c \u0431\u043e\u0442\u043e\u0432:\n\n<img class=\"alignnone  wp-image-3499\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments.png\" alt=\"\" width=\"664\" height=\"429\" \/>\n\n\u042d\u0442\u043e\u0442 \u0433\u0440\u0430\u0444\u0438\u043a \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0432\u0437\u0430\u0438\u043c\u043e\u0441\u0432\u044f\u0437\u044c \u043c\u0435\u0436\u0434\u0443 \u043e\u0431\u0449\u0438\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u043f\u043e\u0434 \u0432\u0438\u0434\u0435\u043e \u0438 \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u043e\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u043e\u0442 \u0431\u043e\u0442\u043e\u0432. \u0426\u0432\u0435\u0442\u043e\u0432\u0430\u044f \u0448\u043a\u0430\u043b\u0430 \u043e\u0442\u0440\u0430\u0436\u0430\u0435\u0442 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0431\u043e\u0442\u043e\u0432. \u041a\u0440\u0430\u0441\u043d\u0430\u044f \u043f\u0443\u043d\u043a\u0442\u0438\u0440\u043d\u0430\u044f \u043b\u0438\u043d\u0438\u044f \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u0441\u0440\u0435\u0434\u043d\u0438\u0439 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u0431\u043e\u0442\u043e\u0432 (62.1%) \u043f\u043e \u0432\u0441\u0435\u0439 \u0432\u044b\u0431\u043e\u0440\u043a\u0435. \u0418\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e, \u0447\u0442\u043e \u0432\u0438\u0434\u0435\u043e \u0441 \u043c\u0435\u043d\u044c\u0448\u0438\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 (\u0434\u043e 500) \u043f\u043e\u0434\u0432\u0435\u0440\u0436\u0435\u043d\u044b \u0431\u043e\u043b\u044c\u0448\u0435\u043c\u0443 \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u0443 \u0431\u043e\u0442\u043e\u0432 (\u0434\u043e 90%), \u0432 \u0442\u043e \u0432\u0440\u0435\u043c\u044f \u043a\u0430\u043a \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0435 \u0432\u0438\u0434\u0435\u043e \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e\u043c \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 (1500+) \u043e\u0431\u044b\u0447\u043d\u043e \u0438\u043c\u0435\u044e\u0442 \u043c\u0435\u043d\u044c\u0448\u0438\u0439 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u0431\u043e\u0442\u043e\u0432 (\u043e\u043a\u043e\u043b\u043e 20-35%). \u042d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0442\u044c \u043d\u0430 \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u044e \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432: \u043e\u043d\u0438 \u0441\u0442\u0440\u0435\u043c\u044f\u0442\u0441\u044f \u0434\u043e\u043c\u0438\u043d\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432 \u043e\u0431\u0441\u0443\u0436\u0434\u0435\u043d\u0438\u044f\u0445 \u043c\u0435\u043d\u0435\u0435 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0445 \u0432\u0438\u0434\u0435\u043e, \u0433\u0434\u0435 \u0438\u0445 \u0432\u043b\u0438\u044f\u043d\u0438\u0435 \u0431\u0443\u0434\u0435\u0442 \u0431\u043e\u043b\u0435\u0435 \u0437\u0430\u043c\u0435\u0442\u043d\u044b\u043c, \u0438 \u0433\u0434\u0435 \u0438\u043c \u043b\u0435\u0433\u0447\u0435 \"\u043f\u0435\u0440\u0435\u043a\u0440\u0438\u0447\u0430\u0442\u044c\" \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0438\u0445 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439.\n\n<strong>\u0412\u0438\u0434\u0435\u043e \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0432\u0435\u0440\u0433\u0448\u0438\u0435\u0441\u044f \u0430\u0442\u0430\u043a\u0430\u043c \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432<\/strong>\n\n<img class=\"alignnone  wp-image-3498\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-scaled.png\" alt=\"\" width=\"729\" height=\"396\" \/>\n\n\u0413\u0440\u0430\u0444\u0438\u043a \u0432 \u044d\u0442\u043e\u043c \u0440\u0430\u0437\u0434\u0435\u043b\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u043c\u0435\u0436\u0434\u0443 \u0431\u043e\u0442\u0430\u043c\u0438 (\u043a\u0440\u0430\u0441\u043d\u044b\u0435 \u0441\u0442\u043e\u043b\u0431\u0446\u044b) \u0438 \u043b\u044e\u0434\u044c\u043c\u0438 (\u0431\u0438\u0440\u044e\u0437\u043e\u0432\u044b\u0435 \u0441\u0442\u043e\u043b\u0431\u0446\u044b) \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0432\u0438\u0434\u0435\u043e. \u041d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0432\u0435\u0440\u0436\u0435\u043d\u043d\u044b\u043c\u0438 \u0430\u0442\u0430\u043a\u0430\u043c \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0432\u0438\u0434\u0435\u043e \u0441 \u043f\u043e\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435\u043c, \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e \u0442\u0435, \u0433\u0434\u0435 \u0444\u0438\u0433\u0443\u0440\u0438\u0440\u0443\u0435\u0442 \u041b\u0443\u043a\u0430\u0448\u0435\u043d\u043a\u043e (\"\u041b\u0443\u043a\u0430\u0448\u0435\u043d\u043a\u043e \u043f\u043e\u0434\u0430\u043b \u0432 \u0441\u0443\u0434...\", \"\u041b\u0443\u043a\u0430\u0448\u0435\u043d\u043a\u043e \u0421\u041e\u0420\u0412\u0410\u041b\u0421\u042f \u043d\u0430 \u0447\u0438\u043d\u043e\u0432\u043d\u0438\u043a\u043e\u0432...\", \"\u041b\u0443\u043a\u0430\u0448\u0435\u043d\u043a\u043e \u0431\u0443\u0434\u0435\u0442 \u0432 \u0442\u0440\u0438\u0431\u0443\u043d\u0430\u043b\u0435...\" \u0438 \u0442.\u0434.).\n\u0418\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c, \u0447\u0442\u043e \u0441\u0438\u043b\u044c\u043d\u0435\u0435 \u0432\u0441\u0435\u0433\u043e \u0430\u0442\u0430\u043a\u0430\u043c \u0431\u043e\u0442\u043e\u0432 \u043f\u043e\u0434\u0432\u0435\u0440\u0433\u043b\u0438\u0441\u044c \u0432\u0438\u0434\u0435\u043e \u0441 \u043a\u0440\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u0438\u043b\u0438 \u043d\u0435\u0433\u0430\u0442\u0438\u0432\u043d\u044b\u043c \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435\u043c \u043e \u041b\u0443\u043a\u0430\u0448\u0435\u043d\u043a\u043e, \u0433\u0434\u0435 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u0431\u043e\u0442-\u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0434\u043e\u0441\u0442\u0438\u0433\u0430\u0435\u0442 40-50% \u043e\u0442 \u043e\u0431\u0449\u0435\u0433\u043e \u0447\u0438\u0441\u043b\u0430. \u042d\u0442\u043e \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0430 \u0446\u0435\u043b\u0435\u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u044e \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043e\u0431\u0449\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c \u043c\u043d\u0435\u043d\u0438\u0435\u043c - \u0431\u043e\u0442\u044b \u043a\u043e\u043d\u0446\u0435\u043d\u0442\u0440\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u043d\u0430 \u0432\u0438\u0434\u0435\u043e \u0441 \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u043d\u0435\u0433\u0430\u0442\u0438\u0432\u043d\u044b\u043c \u0434\u043b\u044f \u0432\u043b\u0430\u0441\u0442\u0435\u0439 \u043d\u0430\u0440\u0440\u0430\u0442\u0438\u0432\u043e\u043c.\n\u041f\u0440\u0438\u043c\u0435\u0447\u0430\u0442\u0435\u043b\u044c\u043d\u043e \u0442\u0430\u043a\u0436\u0435 \u0432\u0438\u0434\u0435\u043e \"\u0411\u0435\u043b\u0430\u0440\u0443\u0441\u044b \u0441\u043f\u043e\u0440\u044f\u0442: \u0437\u0430\u0447\u0435\u043c \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c...\", \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0438\u043c\u0435\u0435\u0442 \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0435\u0435 \u0430\u0431\u0441\u043e\u043b\u044e\u0442\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0438 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u0434\u043e\u043b\u044e \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u043e\u0442 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u043b\u044e\u0434\u0435\u0439. \u042d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0442\u044c \u043d\u0430 \u0442\u043e, \u0447\u0442\u043e \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u043e-\u044d\u043a\u043e\u043d\u043e\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0442\u0435\u043c\u044b \u0432\u044b\u0437\u044b\u0432\u0430\u044e\u0442 \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0438\u0439 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0435\u0441 \u0430\u0443\u0434\u0438\u0442\u043e\u0440\u0438\u0438, \u043f\u043e\u0442\u043e\u043c\u0443 \u0431\u043e\u0442\u0430\u043c \u0441\u043b\u043e\u0436\u043d\u0435\u0435 \u0434\u043e\u043c\u0438\u043d\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432 \u0442\u0430\u043a\u0438\u0445 \u043e\u0431\u0441\u0443\u0436\u0434\u0435\u043d\u0438\u044f\u0445.\n\u0412\u0438\u0434\u0435\u043e \"\u0427\u0442\u043e \u0442\u0435\u043f\u0435\u0440\u044c \u0431\u0443\u0434\u0435\u0442 \u0441 \u041f\u0440\u0438\u0431\u0430\u043b\u0442\u0438\u043a\u043e\u0439...\" \u0442\u0430\u043a\u0436\u0435 \u043f\u0440\u0438\u0432\u043b\u0435\u043a\u043b\u043e \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435 \u043a\u0430\u043a \u0431\u043e\u0442\u043e\u0432, \u0442\u0430\u043a \u0438 \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u0445 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439, \u0447\u0442\u043e \u0433\u043e\u0432\u043e\u0440\u0438\u0442 \u043e \u0432\u044b\u0441\u043e\u043a\u043e\u043c \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0435 \u043a \u0433\u0435\u043e\u043f\u043e\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u0432\u043e\u043f\u0440\u043e\u0441\u0430\u043c \u0440\u0435\u0433\u0438\u043e\u043d\u0430.\n\u0412 \u0446\u0435\u043b\u043e\u043c, \u0433\u0440\u0430\u0444\u0438\u043a \u043d\u0430\u0433\u043b\u044f\u0434\u043d\u043e \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u0447\u0442\u043e \u0431\u043e\u0442\u044b \u0441\u043a\u043e\u043d\u0446\u0435\u043d\u0442\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u044b \u043d\u0430 \u043f\u043e\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0447\u0443\u0432\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0442\u0435\u043c\u0430\u0445, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0445 \u0441 \u0431\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u043e\u0439 \u0432\u043b\u0430\u0441\u0442\u044c\u044e, \u0447\u0442\u043e \u043f\u043e\u0434\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u0435\u0442 \u0433\u0438\u043f\u043e\u0442\u0435\u0437\u0443 \u043e \u0446\u0435\u043b\u0435\u043d\u0430\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u0431\u043e\u0442\u043d\u0435\u0442\u043e\u0432 \u0434\u043b\u044f \u043c\u0430\u043d\u0438\u043f\u0443\u043b\u044f\u0446\u0438\u0438 \u043e\u0431\u0449\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c \u043c\u043d\u0435\u043d\u0438\u0435\u043c \u0432 \u0431\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u043e\u043c \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0435 YouTube.\n\n<strong>\u0412\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0441\u0435\u0442\u0438 \u0431\u043e\u0442\u043e\u0432<\/strong>\n\u041d\u0430\u0439\u0434\u0435\u043d\u043e 7 \u0441\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\n\n<img class=\"alignnone  wp-image-3479\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/bot_network.png\" alt=\"\" width=\"529\" height=\"529\" \/><img class=\"alignnone  wp-image-3489\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs.png\" alt=\"\" width=\"250\" height=\"241\" \/>\n\n\u0422\u043e\u043f-5 \u043a\u0440\u0443\u043f\u043d\u0435\u0439\u0448\u0438\u0445 \u0441\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432:\n1. \u0421\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e 3: 847 \u0431\u043e\u0442\u043e\u0432\n2. \u0421\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e 1: 542 \u0431\u043e\u0442\u043e\u0432\n3. \u0421\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e 0: 424 \u0431\u043e\u0442\u043e\u0432\n4. \u0421\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e 4: 313 \u0431\u043e\u0442\u043e\u0432\n5. \u0421\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e 2: 292 \u0431\u043e\u0442\u043e\u0432\n\n\u0410\u043d\u0430\u043b\u0438\u0437 \u0432\u044b\u044f\u0432\u0438\u043b \u0443\u043c\u0435\u0440\u0435\u043d\u043d\u043e\u0435, \u043d\u043e \u0437\u043d\u0430\u0447\u0438\u043c\u043e\u0435 \u043f\u0440\u0438\u0441\u0443\u0442\u0441\u0442\u0432\u0438\u0435 \u0431\u043e\u0442\u043e\u0432 (14.1%) \u0432 \u0432\u044b\u0431\u043e\u0440\u043a\u0435 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432. \u0411\u043e\u0442\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442\u0441\u044f \u0432 \u043e\u0441\u043d\u043e\u0432\u043d\u043e\u043c \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u043f\u043e\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 \u0438 \u0441\u043f\u0430\u043c\u0430. \u0411\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e \u0430\u043a\u0442\u0438\u0432\u043d\u044b\u0445 \u0430\u0432\u0442\u043e\u0440\u043e\u0432 \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0440\u0435\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u043b\u044e\u0434\u044c\u043c\u0438.\n\u0421\u0438\u0441\u0442\u0435\u043c\u0430 <strong>RAG-Bot Detector<\/strong> \u043f\u043e\u043a\u0430\u0437\u0430\u043b\u0430 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u044c, \u0443\u0441\u043f\u0435\u0448\u043d\u043e \u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0432 \u043f\u043e\u0447\u0442\u0438 98,000 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0435\u0432 \u0441 \u0447\u0435\u0442\u043a\u0438\u043c \u0440\u0430\u0437\u0434\u0435\u043b\u0435\u043d\u0438\u0435\u043c \u043d\u0430 \u0431\u043e\u0442\u043e\u0432 \u0438 \u043b\u044e\u0434\u0435\u0439. \u0414\u0430\u043b\u044c\u043d\u0435\u0439\u0448\u0435\u0435 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u0435 \u0431\u0430\u0437\u044b \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u043e\u0432 \u043c\u043e\u0436\u0435\u0442 \u0443\u0441\u043a\u043e\u0440\u0438\u0442\u044c \u0431\u0443\u0434\u0443\u0449\u0438\u0435 \u0430\u043d\u0430\u043b\u0438\u0437\u044b.\n\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0441\u0432\u0438\u0434\u0435\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0443\u044e\u0442 \u043e \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u043c, \u043d\u043e \u043d\u0435 \u043a\u0440\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u043c \u0443\u0440\u043e\u0432\u043d\u0435 \u043c\u0430\u043d\u0438\u043f\u0443\u043b\u044f\u0446\u0438\u0438 \u043e\u0431\u0449\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c \u043c\u043d\u0435\u043d\u0438\u0435\u043c \u0447\u0435\u0440\u0435\u0437 \u043a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0438 YouTube, \u0447\u0442\u043e \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0435\u043d\u0438\u044f \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0430.","_ru_post_name":"digital_soldiers_youtube_botnets","_ru_post_excerpt":"","_ru_post_title":"\u0426\u0438\u0444\u0440\u043e\u0432\u044b\u0435 \u0441\u043e\u043b\u0434\u0430\u0442\u044b \u0434\u0435\u0437\u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438: \u0431\u043e\u0442\u043d\u0435\u0442\u044b \u0432 \u0431\u0435\u043b\u043e\u0440\u0443\u0441\u0441\u043a\u043e\u043c YouTube","_eng_post_content":"In March 2025, a <a href=\"https:\/\/factcheck.lt\/eng\/news\/youtube_botnet_march2025\/\">study<\/a> was published that revealed extensive botnet activity in comments under Belarusian and international videos on YouTube. At that time, 85,736 comments on 1,132 videos left by 32,326 unique authors were analyzed, and it was discovered that less than 1% of accounts generated almost 12% of all comments, while 39% of videos were subjected to botnet attacks.\nIn the new study, the scope of analysis was expanded, processing nearly 100,000 comments from April 2025. To improve the efficiency and accuracy of bot detection, a hybrid RAG (Retrieval Augmented Generation) approach was implemented, which allows combining neural network analysis with search logic from its own knowledge base.\nThis approach takes into account various aspects of bot behavior, including:\n<ul>\n \t<li>Behavioral patterns (commenting frequency);<\/li>\n \t<li>Template phrases and repetitive comments;<\/li>\n \t<li>Account name structure;<\/li>\n \t<li>Temporal patterns of activity;<\/li>\n \t<li>Network connections between bots.<\/li>\n<\/ul>\nUsing RAG allowed creating a knowledge base of these patterns and more effectively identifying bots without the freezes characteristic of direct LLM API requests. This provided a more robust and scalable approach to comment analysis, which is especially important when working with large data sets.\nThe new analysis identified more than 13,000 comments classified as bots, and more than 3,600 bot authors. These data confirm the continuing activity of botnets in Belarusian YouTube and the need for further monitoring and counteracting such information attacks.\n\n<strong>Methodology<\/strong>\nThe methodology represents a hybrid system combining:\n<ul>\n \t<li>local heuristics (patterns, spam indicators, and tone),<\/li>\n \t<li>vector search (finding similar comments),<\/li>\n \t<li>LLM analysis using RAG (enriched with context and examples),<\/li>\n \t<li>caching (to speed up repeated calls),<\/li>\n \t<li>two-phase processing (sampling + bulk verification),<\/li>\n \t<li>automatic generation of reports and visualizations.<\/li>\n<\/ul>\n<strong data-start=\"700\" data-end=\"739\">1. Preprocessing and local heuristics<\/strong>\n<p class=\"\" data-start=\"741\" data-end=\"770\">Each comment is cleaned:<\/p>\n\n<ul data-start=\"771\" data-end=\"877\">\n \t<li class=\"\" data-start=\"771\" data-end=\"808\">\n<p class=\"\" data-start=\"773\" data-end=\"808\">URLs, special characters, emojis are removed;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"809\" data-end=\"853\">\n<p class=\"\" data-start=\"811\" data-end=\"853\">language detection is performed (ru, ua, by);<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"854\" data-end=\"877\">\n<p class=\"\" data-start=\"856\" data-end=\"877\">stop words are removed.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"879\" data-end=\"916\">Then <strong data-start=\"897\" data-end=\"915\">pattern analysis<\/strong> is applied:<\/p>\n\n<ul data-start=\"917\" data-end=\"1134\">\n \t<li class=\"\" data-start=\"917\" data-end=\"982\">\n<p class=\"\" data-start=\"919\" data-end=\"982\">template phrases, suspicious names, spam indicators are searched for;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"983\" data-end=\"1045\">\n<p class=\"\" data-start=\"985\" data-end=\"1045\">each comment is assigned a <code data-start=\"1019\" data-end=\"1030\">bot_score<\/code> from 0.0 to 0.9;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1046\" data-end=\"1134\">\n<p class=\"\" data-start=\"1048\" data-end=\"1134\">if <code data-start=\"1053\" data-end=\"1071\">bot_score >= 0.6<\/code>, the comment is considered an \"obvious bot\" and is marked without LLM.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"1136\" data-end=\"1157\">Pattern examples:<\/p>\n\n<ul data-start=\"1158\" data-end=\"1326\">\n \t<li class=\"\" data-start=\"1158\" data-end=\"1201\">\n<p class=\"\" data-start=\"1160\" data-end=\"1201\">Phrases: \"\u0436\u044b\u0432\u0435 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u044c\", \"\u0434\u0437\u044f\u043a\u0443\u0439 \u0437\u0430 \u043f\u0440\u0430\u0446\u0443\"<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1202\" data-end=\"1234\">\n<p class=\"\" data-start=\"1204\" data-end=\"1234\">Names: <code data-start=\"1211\" data-end=\"1221\">user-947<\/code>, <code data-start=\"1223\" data-end=\"1234\">Ivan_1987<\/code><\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1235\" data-end=\"1326\">\n<p class=\"\" data-start=\"1237\" data-end=\"1326\">Spam: words like \"\u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043e\u043a\", \"\u0431\u0438\u0442\u043a\u043e\u0438\u043d\", \"telegram\"<\/p>\n<\/li>\n<\/ul>\n<strong>2. Vectorization and RAG-search for similar comments<\/strong>\nRemaining suspicious comments:\n<ul>\n \t<li>are transformed into embeddings using SentenceTransformer;<\/li>\n \t<li>a search for nearest neighbors (top-k similar comments) is created for each based on cosine similarity;<\/li>\n \t<li>these examples are included in the prompt for LLM, enhancing the quality of analysis (this is RAG).<\/li>\n<\/ul>\n<strong>3. LLM (GPT) analysis with RAG<\/strong>\nEach comment is analyzed through a prompt that includes:\n<ul>\n \t<li>meta-information: author, text, heuristics (tone, patterns, spam),<\/li>\n \t<li>top-3 similar comments and their classifications,<\/li>\n \t<li>instruction: what to pay attention to (patterns, emotions, relevance, opinion),<\/li>\n \t<li>clear response format in JSON<\/li>\n<\/ul>\nIf GPT doesn't respond or returns an error \u2014 a weighted heuristic assessment (patterns + spam + tone) is used.\n\n<strong>4. Architecture and optimization<\/strong>\n<ul data-start=\"2456\" data-end=\"2957\">\n \t<li class=\"\" data-start=\"2456\" data-end=\"2557\">\n<p class=\"\" data-start=\"2458\" data-end=\"2557\"><strong data-start=\"2458\" data-end=\"2477\">Multithreading<\/strong> (<code data-start=\"2479\" data-end=\"2499\">ThreadPoolExecutor<\/code>) and <strong data-start=\"2503\" data-end=\"2522\">batch processing<\/strong> (25 comments at a time) speed up the analysis.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2558\" data-end=\"2651\">\n<p class=\"\" data-start=\"2560\" data-end=\"2651\">Cache (<code data-start=\"2565\" data-end=\"2576\">diskcache<\/code>) is used at the level of: embeddings, GPT responses, heuristic analyses.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2652\" data-end=\"2763\">\n<p class=\"\" data-start=\"2654\" data-end=\"2763\">Initially, a <strong data-start=\"2675\" data-end=\"2704\">selective training phase<\/strong> (10% of comments) is applied to speed up the mass analysis phase.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2764\" data-end=\"2957\">\n<p class=\"\" data-start=\"2766\" data-end=\"2957\">All results are saved in <code data-start=\"2795\" data-end=\"2801\">.csv<\/code>, and an interactive dashboard with visualizations is generated<\/p>\n<\/li>\n<\/ul>\n<strong>Features and novelty of the approach<\/strong>\n<ul data-start=\"3599\" data-end=\"3931\">\n \t<li class=\"\" data-start=\"3599\" data-end=\"3681\">\n<p class=\"\" data-start=\"3601\" data-end=\"3681\">Using <strong data-start=\"3615\" data-end=\"3622\">RAG<\/strong> with <strong data-start=\"3625\" data-end=\"3632\">GPT<\/strong> for evaluating comments in Cyrillic languages;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3682\" data-end=\"3762\">\n<p class=\"\" data-start=\"3684\" data-end=\"3762\"><strong data-start=\"3684\" data-end=\"3728\">Automatic enrichment of the pattern base<\/strong>, extracted from <code data-start=\"3745\" data-end=\"3761\">bot_indicators<\/code>;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3763\" data-end=\"3848\">\n<p class=\"\" data-start=\"3765\" data-end=\"3848\"><strong data-start=\"3765\" data-end=\"3785\">Hybrid logic<\/strong>: first maximally fast filters, then precise LLM analysis;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3849\" data-end=\"3931\">\n<p class=\"\" data-start=\"3851\" data-end=\"3931\"><strong data-start=\"3851\" data-end=\"3890\">Reports for fact-checkers and analysts<\/strong>, suitable for publications and presentations.<\/p>\n<\/li>\n<\/ul>\n<strong>Source data<\/strong>\nUsing YouTube API v3, over 104,000 comments were collected from 2,607 videos related to more than 100 pro-democratic channels. After cleaning, 97,870 comments were analyzed.\nClassification results:\nCreated by bots: 13,777 (14.1%)\nCreated by humans: 84,093 (85.9%)\nA table of author statuses was created: 32,293 authors, of which bots - 6,729, and humans - 25,564. Average number of comments per author: 3.03\nDistribution by classification sources:\napi: 95,218 comments, of which bots: 12,942 (13.6%)\ncache: 2,640 comments, of which bots: 823 (31.2%)\npattern: 12 comments, of which bots: 12 (100.0%)\nAnalysis of bot scores (threshold = 0.5):\nAverage score: 0.208\nMedian score: 0.100\nComments with high score (>=0.6): 12,809 (13.1%)\nScore distribution:\n<img class=\"alignnone  wp-image-3483\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores.png\" alt=\"\" width=\"645\" height=\"389\" \/>\nThis graph demonstrates a bimodal distribution of bot scores (bot_score). The majority of comments have a low bot_score (around 0.1), which corresponds to regular users. However, there are significant peaks in the range of 0.6-0.9, indicating the presence of bots with a high degree of confidence. The red dotted line at 0.5 marks the classification threshold, above which a comment is considered to be created by a bot. This distribution confirms the effectiveness of the classification algorithm, clearly separating regular users and bots.\n\n<strong>Key visualizations<\/strong>\nNumber of comments vs Bot scores:\n<img class=\"alignnone  wp-image-3491\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments.png\" alt=\"\" width=\"648\" height=\"515\" \/>\nThis graph visualizes the relationship between the number of comments by an author and their bot score. Orange dots represent accounts classified as bots (bot_score >= 0.5), blue ones - as regular users. The size of the dot corresponds to the number of comments. It can be seen that most bots leave a small number of comments (up to 100), but have a high bot_score (0.6-1.0). However, there are also bots that have left hundreds of comments. The red dotted line marks the classification threshold (0.5). The graph shows that real users can be very active (up to 500+ comments), but their bot_score remains low, which confirms the reliability of the detection method.\nDistribution of bots by scores and number of comments:\n<img class=\"alignnone  wp-image-3494\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments.png\" alt=\"\" width=\"671\" height=\"384\" \/>\nThis graph shows the frequency distribution of bot_score values only for comments classified as bots (bot_score >= 0.5). It's noticeable that the largest number of bot comments have scores around 0.7 and 0.85, forming two distinct peaks. This may indicate two different types of botnets or automated systems with different behavioral characteristics. The presence of comments with bot_score values close to 1.0 indicates that the system has identified comments with a very high probability of belonging to bots, which confirms the accuracy of the classification.\nBot authors who made the most comments:\n<img class=\"alignnone  wp-image-3495\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments.png\" alt=\"\" width=\"643\" height=\"417\" \/>\nThis graph illustrates the 20 accounts that left the most comments classified as bot-like. The account @NataliaPetrova leads with approximately 250 comments, which significantly exceeds the activity of the next account on the list (@Dushman) with about 100 comments. There's a clear color gradation that allows visually assessing the difference in activity. The top 3 accounts (@NataliaPetrova, @Dushman, and @\u0410\u0417\u042a\u0424\u0420\u0421\u0421\u0421\u0420) demonstrate particularly high activity, which may indicate their priority role in the botnet infrastructure and the need for special monitoring of their activities.\nRelationship between number of comments and percentage of bots:\n<img class=\"alignnone  wp-image-3499\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments.png\" alt=\"\" width=\"664\" height=\"429\" \/>\nThis graph shows the relationship between the total number of comments under a video and the percentage of comments from bots. The color scale reflects the number of bots. The red dotted line indicates the average percentage of bots (62.1%) across the entire sample. Interestingly, videos with fewer comments (up to 500) are subject to a higher percentage of bots (up to 90%), while popular videos with a larger number of comments (1500+) usually have a lower percentage of bots (about 20-35%). This may indicate a botnet strategy: they strive to dominate discussions of less popular videos where their influence will be more noticeable, and where it's easier for them to \"outshout\" real users.\n\n<strong>Videos most subjected to botnet attacks<\/strong>\n<img class=\"alignnone  wp-image-3498\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-scaled.png\" alt=\"\" width=\"729\" height=\"396\" \/>\nThe graph in this section presents the distribution of comments between bots (red bars) and humans (turquoise bars) for various videos. The videos most subjected to botnet attacks are those with political content, especially those featuring Lukashenko (\"Lukashenko filed a lawsuit...\", \"Lukashenko WENT OFF ON officials...\", \"Lukashenko will be in tribunal...\" etc.).\nIt's interesting to note that videos with critical or negative content about Lukashenko were most heavily attacked by bots, where the percentage of bot comments reaches 40-50% of the total number. This indicates a targeted strategy of public opinion management - bots concentrate on videos with potentially negative narratives for the authorities.\nAlso notable is the video \"Belarusians debate: why work...\", which has the largest absolute number of comments and a high proportion of comments from real people. This may indicate that socio-economic topics generate the greatest natural interest from the audience, making it harder for bots to dominate such discussions.\nThe video \"What will now happen with the Baltic states...\" also attracted significant attention from both bots and real users, indicating high interest in the region's geopolitical issues.\nOverall, the graph clearly shows that bots are concentrated on politically sensitive topics related to the Belarusian authorities, which confirms the hypothesis about the targeted use of botnets for manipulating public opinion in the Belarusian segment of YouTube.\n\n<strong>Bot network visualization<\/strong>\n7 communities found\n<img class=\"alignnone  wp-image-3479\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/bot_network.png\" alt=\"\" width=\"529\" height=\"529\" \/><img class=\"alignnone  wp-image-3489\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs.png\" alt=\"\" width=\"250\" height=\"241\" \/>\nTop 5 largest communities:\n\nCommunity 3: 847 bots\nCommunity 1: 542 bots\nCommunity 0: 424 bots\nCommunity 4: 313 bots\nCommunity 2: 292 bots\n\nThe analysis revealed a moderate but significant presence of bots (14.1%) in the sample of comments. Bots are mainly used to spread political messages and spam. Most active authors are real people.\nThe <strong>RAG-Bot Detector<\/strong> system showed high efficiency, successfully analyzing nearly 98,000 comments with a clear separation between bots and humans. Further expansion of the pattern base can accelerate future analyses.\nThe results indicate a significant but not critical level of manipulation of public opinion through YouTube comments, which requires continued monitoring and analysis.\n<p>\n<i>This publication was developed by a research team under the leadership of Mikhail Doroshevich, PhD.<\/i>","_eng_post_name":"","_eng_post_excerpt":"","_eng_post_title":"Digital soldiers of disinformation: botnets on Belarusian YouTube","_bel_post_content":"\u0423 \u0441\u0430\u043a\u0430\u0432\u0456\u043a\u0443 2025 \u0433\u043e\u0434\u0430 \u0431\u044b\u043b\u043e \u0430\u043f\u0443\u0431\u043b\u0456\u043a\u0430\u0432\u0430\u043d\u0430 <a href=\"https:\/\/factcheck.lt\/bel\/news\/youtube_botnet_march2025\/\">\u0434\u0430\u0441\u043b\u0435\u0434\u0430\u0432\u0430\u043d\u043d\u0435<\/a>, \u0443 \u044f\u043a\u0456\u043c \u0432\u044b\u044f\u0432\u0456\u043b\u0456 \u043c\u0430\u0448\u0442\u0430\u0431\u043d\u0443\u044e \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e \u0443 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u0445 \u043f\u0430\u0434 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0456\u043c\u0456 \u0456 \u043c\u0456\u0436\u043d\u0430\u0440\u043e\u0434\u043d\u044b\u043c\u0456 \u0432\u0456\u0434\u044d\u0430 \u043d\u0430 YouTube. \u0422\u0430\u0434\u044b \u0431\u044b\u043b\u043e \u043f\u0440\u0430\u0430\u043d\u0430\u043b\u0456\u0437\u0430\u0432\u0430\u043d\u0430 85 736 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0434\u0430 1 132 \u0432\u0456\u0434\u044d\u0430, \u043f\u0430\u043a\u0456\u043d\u0443\u0442\u044b\u0445 32 326 \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u044b\u043c\u0456 \u0430\u045e\u0442\u0430\u0440\u0430\u043c\u0456, \u0456 \u0432\u044b\u044f\u0432\u0456\u043b\u0456, \u0448\u0442\u043e \u043c\u0435\u043d\u0448 \u0437\u0430 1% \u0430\u043a\u0430\u045e\u043d\u0442\u0430\u045e \u0433\u0435\u043d\u0435\u0440\u0430\u0432\u0430\u043b\u0456 \u0430\u043c\u0430\u043b\u044c 12% \u0443\u0441\u0456\u0445 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u0430 39% \u0432\u0456\u0434\u044d\u0430 \u043f\u0430\u0434\u0432\u044f\u0440\u0433\u0430\u043b\u0456\u0441\u044f \u0430\u0442\u0430\u043a\u0430\u043c \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e.\n\u0423 \u043d\u043e\u0432\u044b\u043c \u0434\u0430\u0441\u043b\u0435\u0434\u0430\u0432\u0430\u043d\u043d\u0456 \u0431\u044b\u045e \u043f\u0430\u0448\u044b\u0440\u0430\u043d\u044b \u043c\u0430\u0448\u0442\u0430\u0431 \u0430\u043d\u0430\u043b\u0456\u0437\u0443, \u0430\u043f\u0440\u0430\u0446\u0430\u0432\u0430\u045e\u0448\u044b \u0430\u043c\u0430\u043b\u044c 100 000 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0437\u0430 \u043a\u0440\u0430\u0441\u0430\u0432\u0456\u043a 2025 \u0433\u043e\u0434\u0430. \u0414\u043b\u044f \u043f\u0430\u0432\u044b\u0448\u044d\u043d\u043d\u044f \u044d\u0444\u0435\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u0456 \u0456 \u0434\u0430\u043a\u043b\u0430\u0434\u043d\u0430\u0441\u0446\u0456 \u0434\u044d\u0442\u044d\u043a\u0446\u044b\u0456 \u0431\u043e\u0442\u0430\u045e \u0431\u044b\u045e \u0443\u043a\u0430\u0440\u0430\u043d\u0451\u043d\u044b \u0433\u0456\u0431\u0440\u044b\u0434\u043d\u044b \u043f\u0430\u0434\u044b\u0445\u043e\u0434 RAG (Retrieval Augmented Generation), \u044f\u043a\u0456 \u0434\u0430\u0437\u0432\u0430\u043b\u044f\u0435 \u0441\u043f\u0430\u043b\u0443\u0447\u0430\u0446\u044c \u043d\u0435\u0439\u0440\u0430\u0441\u0435\u0442\u043a\u0430\u0432\u044b \u0430\u043d\u0430\u043b\u0456\u0437 \u0437 \u043b\u043e\u0433\u0456\u043a\u0430\u0439 \u043f\u043e\u0448\u0443\u043a\u0443 \u043f\u0430 \u045e\u043b\u0430\u0441\u043d\u0430\u0439 \u0431\u0430\u0437\u0435 \u0432\u0435\u0434\u0430\u045e.\n\u0413\u044d\u0442\u044b \u043f\u0430\u0434\u044b\u0445\u043e\u0434 \u0443\u043b\u0456\u0447\u0432\u0430\u0435 \u0440\u043e\u0437\u043d\u044b\u044f \u0430\u0441\u043f\u0435\u043a\u0442\u044b \u043f\u0430\u0432\u043e\u0434\u0437\u0456\u043d \u0431\u043e\u0442\u0430\u045e, \u0443\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u044b:\n<ul>\n \t<li>\u041f\u0430\u0432\u043e\u0434\u0437\u0456\u043d\u0441\u043a\u0456\u044f \u043f\u0430\u0442\u044d\u0440\u043d\u044b (\u0447\u0430\u0441\u0442\u0430\u0442\u0430 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0432\u0430\u043d\u043d\u044f);<\/li>\n \t<li>\u0428\u0430\u0431\u043b\u043e\u043d\u043d\u044b\u044f \u0444\u0440\u0430\u0437\u044b \u0456 \u043f\u0430\u045e\u0442\u0430\u0440\u0430\u043b\u044c\u043d\u044b\u044f \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0456;<\/li>\n \t<li>\u0421\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0443 \u0456\u043c\u0451\u043d\u0430\u045e \u0430\u043a\u0430\u045e\u043d\u0442\u0430\u045e;<\/li>\n \t<li>\u0427\u0430\u0441\u0430\u0432\u044b\u044f \u043f\u0430\u0442\u044d\u0440\u043d\u044b \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u0456;<\/li>\n \t<li>\u0421\u0435\u0442\u043a\u0430\u0432\u044b\u044f \u045e\u0437\u0430\u0435\u043c\u0430\u0441\u0443\u0432\u044f\u0437\u0456 \u043f\u0430\u043c\u0456\u0436 \u0431\u043e\u0442\u0430\u043c\u0456.<\/li>\n<\/ul>\n\u0412\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435 RAG \u0434\u0430\u0437\u0432\u043e\u043b\u0456\u043b\u0430 \u0441\u0442\u0432\u0430\u0440\u044b\u0446\u044c \u0431\u0430\u0437\u0443 \u0432\u0435\u0434\u0430\u045e \u0433\u044d\u0442\u044b\u0445 \u043f\u0430\u0442\u044d\u0440\u043d\u0430\u045e \u0456 \u0431\u043e\u043b\u044c\u0448 \u044d\u0444\u0435\u043a\u0442\u044b\u045e\u043d\u0430 \u0456\u0434\u044d\u043d\u0442\u044b\u0444\u0456\u043a\u0430\u0432\u0430\u0446\u044c \u0431\u043e\u0442\u0430\u045e \u0431\u0435\u0437 \u0437\u0430\u0432\u0456\u0441\u0430\u043d\u043d\u044f\u045e, \u0445\u0430\u0440\u0430\u043a\u0442\u044d\u0440\u043d\u044b\u0445 \u0434\u043b\u044f \u043f\u0440\u0430\u043c\u044b\u0445 \u0437\u0430\u043f\u044b\u0442\u0430\u045e \u0434\u0430 API LLM. \u0413\u044d\u0442\u0430 \u0437\u0430\u0431\u044f\u0441\u043f\u0435\u0447\u044b\u043b\u0430 \u0431\u043e\u043b\u044c\u0448 \u0443\u0441\u0442\u043e\u0439\u043b\u0456\u0432\u044b \u0456 \u043c\u0430\u0448\u0442\u0430\u0431\u0430\u0432\u0430\u043d\u044b \u043f\u0430\u0434\u044b\u0445\u043e\u0434 \u0434\u0430 \u0430\u043d\u0430\u043b\u0456\u0437\u0443 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u0448\u0442\u043e \u0430\u0441\u0430\u0431\u043b\u0456\u0432\u0430 \u0432\u0430\u0436\u043d\u0430 \u043f\u0440\u044b \u043f\u0440\u0430\u0446\u044b \u0437 \u0432\u044f\u043b\u0456\u043a\u0456\u043c\u0456 \u043c\u0430\u0441\u0456\u0432\u0430\u043c\u0456 \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u0445.\n\u0423 \u0432\u044b\u043d\u0456\u043a\u0443 \u043d\u043e\u0432\u0430\u0433\u0430 \u0430\u043d\u0430\u043b\u0456\u0437\u0443 \u0431\u044b\u043b\u043e \u0432\u044b\u044f\u045e\u043b\u0435\u043d\u0430 \u0431\u043e\u043b\u044c\u0448 \u0437\u0430 13 000 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0432\u0430\u043d\u044b\u0445 \u044f\u043a \u0431\u043e\u0442\u044b, \u0456 \u0431\u043e\u043b\u044c\u0448 \u0437\u0430 3 600 \u0430\u045e\u0442\u0430\u0440\u0430\u045e-\u0431\u043e\u0442\u0430\u045e. \u0413\u044d\u0442\u044b\u044f \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f \u043f\u0430\u0446\u0432\u044f\u0440\u0434\u0436\u0430\u044e\u0446\u044c \u043f\u0440\u0430\u0446\u044f\u0433\u043b\u0443\u044e \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e \u0443 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0456\u043c YouTube \u0456 \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430\u0441\u0446\u044c \u0434\u0430\u043b\u0435\u0439\u0448\u0430\u0433\u0430 \u043c\u0430\u043d\u0456\u0442\u043e\u0440\u044b\u043d\u0433\u0443 \u0456 \u0441\u0443\u043f\u0440\u0430\u0446\u044c\u0434\u0437\u0435\u044f\u043d\u043d\u044f \u0442\u0430\u043a\u0456\u043c \u0456\u043d\u0444\u0430\u0440\u043c\u0430\u0446\u044b\u0439\u043d\u044b\u043c \u0430\u0442\u0430\u043a\u0430\u043c.\n<strong>\u041c\u0435\u0442\u0430\u0434\u0430\u043b\u043e\u0433\u0456\u044f<\/strong>\n\u041c\u0435\u0442\u0430\u0434\u0430\u043b\u043e\u0433\u0456\u044f \u045e\u044f\u045e\u043b\u044f\u0435 \u0441\u0430\u0431\u043e\u0439 \u0433\u0456\u0431\u0440\u044b\u0434\u043d\u0443\u044e \u0441\u0456\u0441\u0442\u044d\u043c\u0443, \u044f\u043a\u0430\u044f \u0441\u043f\u0430\u043b\u0443\u0447\u0430\u0435 \u045e \u0441\u0430\u0431\u0435:\n<ul>\n \t<li>\u043b\u0430\u043a\u0430\u043b\u044c\u043d\u044b\u044f \u044d\u045e\u0440\u044b\u0441\u0442\u044b\u043a\u0456 (\u043f\u0430\u0442\u044d\u0440\u043d\u044b, \u0441\u043f\u0430\u043c-\u0456\u043d\u0434\u044b\u043a\u0430\u0442\u0430\u0440\u044b \u0456 \u0442\u0430\u043d\u0430\u043b\u044c\u043d\u0430\u0441\u0446\u044c),<\/li>\n \t<li>\u0432\u0435\u043a\u0442\u0430\u0440\u043d\u044b \u043f\u043e\u0448\u0443\u043a (\u043f\u043e\u0448\u0443\u043a \u043f\u0430\u0434\u043e\u0431\u043d\u044b\u0445 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e),<\/li>\n \t<li>LLM-\u0430\u043d\u0430\u043b\u0456\u0437 \u0437 \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435\u043c RAG (\u0443\u0437\u0431\u0430\u0433\u0430\u0447\u0430\u043d\u044b \u043a\u0430\u043d\u0442\u044d\u043a\u0441\u0442\u0430\u043c \u0456 \u043f\u0440\u044b\u043a\u043b\u0430\u0434\u0430\u043c\u0456),<\/li>\n \t<li>\u043a\u044d\u0448\u0430\u0432\u0430\u043d\u043d\u0435 (\u0434\u043b\u044f \u043f\u0430\u0441\u043a\u0430\u0440\u044d\u043d\u043d\u044f \u043f\u0430\u045e\u0442\u043e\u0440\u043d\u044b\u0445 \u0432\u044b\u043a\u043b\u0456\u043a\u0430\u045e),<\/li>\n \t<li>\u0434\u0432\u0443\u0445\u0444\u0430\u0437\u0430\u0432\u0443\u044e \u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0443 (\u0432\u044b\u0431\u0430\u0440\u043a\u0430 + \u043c\u0430\u0441\u0430\u0432\u0430\u044f \u043f\u0440\u0430\u0432\u0435\u0440\u043a\u0430),<\/li>\n \t<li>\u0430\u045e\u0442\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u0443\u044e \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u044b\u044e \u0441\u043f\u0440\u0430\u0432\u0430\u0437\u0434\u0430\u0447 \u0456 \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0430\u0446\u044b\u0439.<\/li>\n<\/ul>\n<strong data-start=\"700\" data-end=\"739\">1. \u041f\u0435\u0440\u0430\u0434\u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0430 \u0456 \u043b\u0430\u043a\u0430\u043b\u044c\u043d\u044b\u044f \u044d\u045e\u0440\u044b\u0441\u0442\u044b\u043a\u0456<\/strong>\n<p class=\"\" data-start=\"741\" data-end=\"770\">\u041a\u043e\u0436\u043d\u044b \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0439 \u0430\u0447\u044b\u0448\u0447\u0430\u0435\u0446\u0446\u0430:<\/p>\n\n<ul data-start=\"771\" data-end=\"877\">\n \t<li class=\"\" data-start=\"771\" data-end=\"808\">\n<p class=\"\" data-start=\"773\" data-end=\"808\">\u0432\u044b\u0434\u0430\u043b\u044f\u044e\u0446\u0446\u0430 URL, \u0441\u043f\u0435\u0446\u0441\u0456\u043c\u0432\u0430\u043b\u044b, \u044d\u043c\u043e\u0434\u0437\u0456;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"809\" data-end=\"853\">\n<p class=\"\" data-start=\"811\" data-end=\"853\">\u043f\u0440\u0430\u0432\u043e\u0434\u0437\u0456\u0446\u0446\u0430 \u0432\u044b\u0437\u043d\u0430\u0447\u044d\u043d\u043d\u0435 \u043c\u043e\u0432\u044b (ru, ua, by);<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"854\" data-end=\"877\">\n<p class=\"\" data-start=\"856\" data-end=\"877\">\u0432\u044b\u0434\u0430\u043b\u044f\u044e\u0446\u0446\u0430 \u0441\u0442\u043e\u043f-\u0441\u043b\u043e\u0432\u044b.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"879\" data-end=\"916\">\u0417\u0430\u0442\u044b\u043c \u0443\u0436\u044b\u0432\u0430\u0435\u0446\u0446\u0430 <strong data-start=\"897\" data-end=\"915\">\u043f\u0430\u0442\u044d\u0440\u043d-\u0430\u043d\u0430\u043b\u0456\u0437<\/strong>:<\/p>\n\n<ul data-start=\"917\" data-end=\"1134\">\n \t<li class=\"\" data-start=\"917\" data-end=\"982\">\n<p class=\"\" data-start=\"919\" data-end=\"982\">\u0448\u0443\u043a\u0430\u044e\u0446\u0446\u0430 \u0448\u0430\u0431\u043b\u043e\u043d\u043d\u044b\u044f \u0444\u0440\u0430\u0437\u044b, \u043f\u0430\u0434\u0430\u0437\u0440\u043e\u043d\u044b\u044f \u0456\u043c\u0451\u043d\u044b, \u0456\u043d\u0434\u044b\u043a\u0430\u0442\u0430\u0440\u044b \u0441\u043f\u0430\u043c\u0443;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"983\" data-end=\"1045\">\n<p class=\"\" data-start=\"985\" data-end=\"1045\">\u043a\u043e\u0436\u043d\u0430\u043c\u0443 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044e \u043f\u0440\u044b\u0441\u0432\u043e\u0439\u0432\u0430\u0435\u0446\u0446\u0430 <code data-start=\"1019\" data-end=\"1030\">bot_score<\/code> \u0430\u0434 0.0 \u0434\u0430 0.9;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1046\" data-end=\"1134\">\n<p class=\"\" data-start=\"1048\" data-end=\"1134\">\u043a\u0430\u043b\u0456 <code data-start=\"1053\" data-end=\"1071\">bot_score >= 0.6<\/code>, \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0439 \u043b\u0456\u0447\u044b\u0446\u0446\u0430 \"\u0432\u0456\u0434\u0430\u0432\u043e\u0447\u043d\u044b\u043c \u0431\u043e\u0442\u0430\u043c\" \u0456 \u043f\u0430\u0437\u043d\u0430\u0447\u0430\u0435\u0446\u0446\u0430 \u0431\u0435\u0437 LLM.<\/p>\n<\/li>\n<\/ul>\n<p class=\"\" data-start=\"1136\" data-end=\"1157\">\u041f\u0440\u044b\u043a\u043b\u0430\u0434\u044b \u043f\u0430\u0442\u044d\u0440\u043d\u0430\u045e:<\/p>\n\n<ul data-start=\"1158\" data-end=\"1326\">\n \t<li class=\"\" data-start=\"1158\" data-end=\"1201\">\n<p class=\"\" data-start=\"1160\" data-end=\"1201\">\u0424\u0440\u0430\u0437\u044b: \"\u0436\u044b\u0432\u0435 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u044c\", \"\u0434\u0437\u044f\u043a\u0443\u0439 \u0437\u0430 \u043f\u0440\u0430\u0446\u0443\"<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1202\" data-end=\"1234\">\n<p class=\"\" data-start=\"1204\" data-end=\"1234\">\u0406\u043c\u0451\u043d\u044b: <code data-start=\"1211\" data-end=\"1221\">user-947<\/code>, <code data-start=\"1223\" data-end=\"1234\">Ivan_1987<\/code><\/p>\n<\/li>\n \t<li class=\"\" data-start=\"1235\" data-end=\"1326\">\n<p class=\"\" data-start=\"1237\" data-end=\"1326\">\u0421\u043f\u0430\u043c: \u0441\u043b\u043e\u0432\u044b \u043a\u0448\u0442\u0430\u043b\u0442\u0443 \"\u0437\u0430\u0440\u0430\u0431\u043e\u0442\u043e\u043a\", \"\u0431\u0438\u0442\u043a\u043e\u0438\u043d\", \"telegram\"<\/p>\n<\/li>\n<\/ul>\n<strong>2. \u0412\u0435\u043a\u0442\u0430\u0440\u044b\u0437\u0430\u0446\u044b\u044f \u0456 RAG-\u043f\u043e\u0448\u0443\u043a \u043f\u0430\u0434\u043e\u0431\u043d\u044b\u0445 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e<\/strong>\n\u0410\u0441\u0442\u0430\u0442\u043d\u0456\u044f \u043f\u0430\u0434\u0430\u0437\u0440\u043e\u043d\u044b\u044f \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0456:\n<ul>\n \t<li>\u043f\u0435\u0440\u0430\u045e\u0442\u0432\u0430\u0440\u0430\u044e\u0446\u0446\u0430 \u045e \u044d\u043c\u0431\u0435\u0434\u044b\u043d\u0433\u0456 \u0437 \u0434\u0430\u043f\u0430\u043c\u043e\u0433\u0430\u0439 SentenceTransformer;<\/li>\n \t<li>\u043d\u0430 \u043a\u043e\u0436\u043d\u044b \u0441\u0442\u0432\u0430\u0440\u0430\u0435\u0446\u0446\u0430 \u043f\u043e\u0448\u0443\u043a \u0431\u043b\u0456\u0436\u044d\u0439\u0448\u044b\u0445 \u0441\u0443\u0441\u0435\u0434\u0437\u044f\u045e (top-k \u043f\u0430\u0434\u043e\u0431\u043d\u044b\u0445 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u045e) \u043d\u0430 \u0430\u0441\u043d\u043e\u0432\u0435 \u043a\u0430\u0441\u0456\u043d\u0443\u0441\u043d\u0430\u0433\u0430 \u043f\u0430\u0434\u0430\u0431\u0435\u043d\u0441\u0442\u0432\u0430;<\/li>\n \t<li>\u0433\u044d\u0442\u044b\u044f \u043f\u0440\u044b\u043a\u043b\u0430\u0434\u044b \u045e\u043a\u043b\u044e\u0447\u0430\u044e\u0446\u0446\u0430 \u045e prompt \u0434\u043b\u044f LLM, \u0443\u0437\u043c\u0430\u0446\u043d\u044f\u044e\u0447\u044b \u044f\u043a\u0430\u0441\u0446\u044c \u0430\u043d\u0430\u043b\u0456\u0437\u0443 (\u0433\u044d\u0442\u0430 \u0456 \u0451\u0441\u0446\u044c RAG).<\/li>\n<\/ul>\n<strong>3. \u0410\u043d\u0430\u043b\u0456\u0437 LLM (GPT) \u0437 RAG<\/strong>\n\u041a\u043e\u0436\u043d\u044b \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0439 \u0430\u043d\u0430\u043b\u0456\u0437\u0443\u0435\u0446\u0446\u0430 \u043f\u0440\u0430\u0437 prompt, \u044f\u043a\u0456 \u045e\u043a\u043b\u044e\u0447\u0430\u0435:\n<ul>\n \t<li>\u043c\u0435\u0442\u0430\u0456\u043d\u0444\u0430\u0440\u043c\u0430\u0446\u044b\u044e: \u0430\u045e\u0442\u0430\u0440, \u0442\u044d\u043a\u0441\u0442, \u044d\u045e\u0440\u044b\u0441\u0442\u044b\u043a\u0456 (\u0442\u0430\u043d\u0430\u043b\u044c\u043d\u0430\u0441\u0446\u044c, \u043f\u0430\u0442\u044d\u0440\u043d\u044b, \u0441\u043f\u0430\u043c),<\/li>\n \t<li>\u0442\u043e\u043f-3 \u043f\u0430\u0434\u043e\u0431\u043d\u044b\u0445 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f \u0456 \u0456\u0445 \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0446\u044b\u0456,<\/li>\n \t<li>\u0456\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u044b\u044f: \u043d\u0430 \u0448\u0442\u043e \u0437\u0432\u044f\u0440\u0442\u0430\u0446\u044c \u0443\u0432\u0430\u0433\u0443 (\u0448\u0430\u0431\u043b\u043e\u043d\u043d\u0430\u0441\u0446\u044c, \u044d\u043c\u043e\u0446\u044b\u0456, \u0440\u044d\u043b\u0435\u0432\u0430\u043d\u0442\u043d\u0430\u0441\u0446\u044c, \u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435),<\/li>\n \t<li>\u0432\u044b\u0440\u0430\u0437\u043d\u044b \u0444\u0430\u0440\u043c\u0430\u0442 \u0430\u0434\u043a\u0430\u0437\u0443 \u045e JSON<\/li>\n<\/ul>\n\u041a\u0430\u043b\u0456 GPT \u043d\u0435 \u0430\u0434\u043a\u0430\u0437\u0432\u0430\u0435 \u0446\u0456 \u0432\u044b\u0434\u0430\u0435 \u043f\u0430\u043c\u044b\u043b\u043a\u0443 \u2014 \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u043e\u045e\u0432\u0430\u0435\u0446\u0446\u0430 \u045e\u0437\u0432\u0430\u0436\u0430\u043d\u0430\u044f \u044d\u045e\u0440\u044b\u0441\u0442\u044b\u0447\u043d\u0430\u044f \u0430\u0446\u044d\u043d\u043a\u0430 (\u043f\u0430\u0442\u044d\u0440\u043d\u044b + \u0441\u043f\u0430\u043c + \u0442\u0430\u043d\u0430\u043b\u044c\u043d\u0430\u0441\u0446\u044c).\n<strong>4. \u0410\u0440\u0445\u0456\u0442\u044d\u043a\u0442\u0443\u0440\u0430 \u0456 \u0430\u043f\u0442\u044b\u043c\u0456\u0437\u0430\u0446\u044b\u044f<\/strong>\n<ul data-start=\"2456\" data-end=\"2957\">\n \t<li class=\"\" data-start=\"2456\" data-end=\"2557\">\n<p class=\"\" data-start=\"2458\" data-end=\"2557\"><strong data-start=\"2458\" data-end=\"2477\">\u0428\u043c\u0430\u0442\u043f\u0430\u0442\u043e\u0447\u043d\u0430\u0441\u0446\u044c<\/strong> (<code data-start=\"2479\" data-end=\"2499\">ThreadPoolExecutor<\/code>) \u0456 <strong data-start=\"2503\" data-end=\"2522\">batch-\u0430\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0430<\/strong> (\u043f\u0430 25 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u045e) \u043f\u0430\u0441\u043a\u0430\u0440\u0430\u044e\u0446\u044c \u0430\u043d\u0430\u043b\u0456\u0437.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2558\" data-end=\"2651\">\n<p class=\"\" data-start=\"2560\" data-end=\"2651\">\u041a\u044d\u0448 (<code data-start=\"2565\" data-end=\"2576\">diskcache<\/code>) \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u043e\u045e\u0432\u0430\u0435\u0446\u0446\u0430 \u043d\u0430 \u045e\u0437\u0440\u043e\u045e\u043d\u0456: \u044d\u043c\u0431\u0435\u0434\u044b\u043d\u0433\u0430\u045e, GPT-\u0430\u0434\u043a\u0430\u0437\u0430\u045e, \u044d\u045e\u0440\u044b\u0441\u0442\u044b\u0447\u043d\u044b\u0445 \u0430\u043d\u0430\u043b\u0456\u0437\u0430\u045e.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2652\" data-end=\"2763\">\n<p class=\"\" data-start=\"2654\" data-end=\"2763\">\u0423 \u043f\u0430\u0447\u0430\u0442\u043a\u0443 \u045e\u0436\u044b\u0432\u0430\u0435\u0446\u0446\u0430 <strong data-start=\"2675\" data-end=\"2704\">\u0432\u044b\u0431\u0430\u0440\u0430\u0447\u043d\u0430\u044f \u043d\u0430\u0432\u0443\u0447\u0430\u043b\u044c\u043d\u0430\u044f \u0444\u0430\u0437\u0430<\/strong> (10% \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e), \u043a\u0430\u0431 \u043f\u0430\u0441\u043a\u043e\u0440\u044b\u0446\u044c \u0444\u0430\u0437\u0443 \u043c\u0430\u0441\u0430\u0432\u0430\u0433\u0430 \u0430\u043d\u0430\u043b\u0456\u0437\u0443.<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"2764\" data-end=\"2957\">\n<p class=\"\" data-start=\"2766\" data-end=\"2957\">\u0423\u0441\u0435 \u0432\u044b\u043d\u0456\u043a\u0456 \u0437\u0430\u0445\u043e\u045e\u0432\u0430\u044e\u0446\u0446\u0430 \u045e <code data-start=\"2795\" data-end=\"2801\">.csv<\/code>, \u0430 \u0442\u0430\u043a\u0441\u0430\u043c\u0430 \u0433\u0435\u043d\u0435\u0440\u0443\u0435\u0446\u0446\u0430 \u0456\u043d\u0442\u044d\u0440\u0430\u043a\u0442\u044b\u045e\u043d\u044b \u0434\u0430\u0448\u0431\u043e\u0440\u0434 \u0437 \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0430\u0446\u044b\u044f\u043c\u0456<\/p>\n<\/li>\n<\/ul>\n<strong>\u0410\u0441\u0430\u0431\u043b\u0456\u0432\u0430\u0441\u0446\u0456 \u0456 \u043d\u0430\u0432\u0456\u0437\u043d\u0430 \u043f\u0430\u0434\u044b\u0445\u043e\u0434\u0443<\/strong>\n<ul data-start=\"3599\" data-end=\"3931\">\n \t<li class=\"\" data-start=\"3599\" data-end=\"3681\">\n<p class=\"\" data-start=\"3601\" data-end=\"3681\">\u0412\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435 <strong data-start=\"3615\" data-end=\"3622\">RAG<\/strong> \u0437 <strong data-start=\"3625\" data-end=\"3632\">GPT<\/strong> \u0434\u043b\u044f \u0430\u0446\u044d\u043d\u043a\u0456 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u043d\u0430 \u043a\u0456\u0440\u044b\u043b\u0456\u0447\u043d\u044b\u0445 \u043c\u043e\u0432\u0430\u0445;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3682\" data-end=\"3762\">\n<p class=\"\" data-start=\"3684\" data-end=\"3762\"><strong data-start=\"3684\" data-end=\"3728\">\u0410\u045e\u0442\u0430\u043c\u0430\u0442\u044b\u0447\u043d\u0430\u0435 \u045e\u0437\u0431\u0430\u0433\u0430\u0447\u044d\u043d\u043d\u0435 \u0431\u0430\u0437\u044b \u043f\u0430\u0442\u044d\u0440\u043d\u0430\u045e<\/strong>, \u0432\u044b\u0446\u044f\u0433\u043d\u0443\u0442\u044b\u0445 \u0437 <code data-start=\"3745\" data-end=\"3761\">bot_indicators<\/code>;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3763\" data-end=\"3848\">\n<p class=\"\" data-start=\"3765\" data-end=\"3848\"><strong data-start=\"3765\" data-end=\"3785\">\u0413\u0456\u0431\u0440\u044b\u0434\u043d\u0430\u044f \u043b\u043e\u0433\u0456\u043a\u0430<\/strong>: \u0441\u043f\u0430\u0447\u0430\u0442\u043a\u0443 \u043c\u0430\u043a\u0441\u0456\u043c\u0430\u043b\u044c\u043d\u0430 \u0445\u0443\u0442\u043a\u0456\u044f \u0444\u0456\u043b\u044c\u0442\u0440\u044b, \u0437\u0430\u0442\u044b\u043c \u0434\u0430\u043a\u043b\u0430\u0434\u043d\u044b LLM-\u0430\u043d\u0430\u043b\u0456\u0437;<\/p>\n<\/li>\n \t<li class=\"\" data-start=\"3849\" data-end=\"3931\">\n<p class=\"\" data-start=\"3851\" data-end=\"3931\"><strong data-start=\"3851\" data-end=\"3890\">\u0421\u043f\u0440\u0430\u0432\u0430\u0437\u0434\u0430\u0447\u044b \u0434\u043b\u044f \u0444\u0430\u043a\u0442\u0447\u044d\u043a\u0435\u0440\u0430\u045e \u0456 \u0430\u043d\u0430\u043b\u0456\u0442\u044b\u043a\u0430\u045e<\/strong>, \u043f\u0440\u044b\u0434\u0430\u0442\u043d\u044b\u044f \u0434\u043b\u044f \u043f\u0443\u0431\u043b\u0456\u043a\u0430\u0446\u044b\u0439 \u0456 \u043f\u0440\u044d\u0437\u0435\u043d\u0442\u0430\u0446\u044b\u0439.<\/p>\n<\/li>\n<\/ul>\n<strong>\u0417\u044b\u0445\u043e\u0434\u043d\u044b\u044f \u0434\u0430\u0434\u0437\u0435\u043d\u044b\u044f<\/strong>\n\u0412\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u043e\u045e\u0432\u0430\u044e\u0447\u044b YouTube API v3, \u0443 2607 \u0432\u0456\u0434\u044d\u0430, \u044f\u043a\u0456\u044f \u0430\u0434\u043d\u043e\u0441\u044f\u0446\u0446\u0430 \u0434\u0430 \u0431\u043e\u043b\u044c\u0448 \u0447\u044b\u043c 100 \u043f\u0440\u0430\u0434\u044d\u043c\u0430\u043a\u0440\u0430\u0442\u044b\u0447\u043d\u044b\u0445 \u043a\u0430\u043d\u0430\u043b\u0430\u045e, \u0431\u044b\u043b\u043e \u0441\u0430\u0431\u0440\u0430\u043d\u0430 \u0431\u043e\u043b\u044c\u0448 \u0437\u0430 104 000 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e. \u041f\u0430\u0441\u043b\u044f \u0430\u0447\u044b\u0441\u0442\u043a\u0456 \u0431\u044b\u043b\u043e \u043f\u0440\u0430\u0430\u043d\u0430\u043b\u0456\u0437\u0430\u0432\u0430\u043d\u0430 97 870 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e.\n\u0412\u044b\u043d\u0456\u043a\u0456 \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0446\u044b\u0456:\n\u0421\u0442\u0432\u043e\u0440\u0430\u043d\u044b \u0431\u043e\u0442\u0430\u043c\u0456: 13777 (14.1%)\n\u0421\u0442\u0432\u043e\u0440\u0430\u043d\u044b \u043b\u044e\u0434\u0437\u044c\u043c\u0456: 84093 (85.9%)\n\u0421\u0442\u0432\u043e\u0440\u0430\u043d\u0430 \u0442\u0430\u0431\u043b\u0456\u0446\u0430 \u0441\u0442\u0430\u0442\u0443\u0441\u0430\u045e \u0430\u045e\u0442\u0430\u0440\u0430\u045e: 32293 \u0430\u045e\u0442\u0430\u0440\u0430\u045e, \u0437 \u0456\u0445 \u0431\u043e\u0442\u0430\u045e - 6729, \u0430 \u043b\u044e\u0434\u0437\u0435\u0439 - 25564. \u0421\u044f\u0440\u044d\u0434\u043d\u044f\u044f \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044c \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u043d\u0430 \u0430\u045e\u0442\u0430\u0440\u0430: 3.03\n\u0420\u0430\u0437\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435 \u043f\u0430 \u043a\u0440\u044b\u043d\u0456\u0446\u0430\u0445 \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0446\u044b\u0456:\napi: 95218 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u0437 \u0456\u0445 \u0431\u043e\u0442\u0430\u045e: 12942 (13.6%)\ncache: 2640 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u0437 \u0456\u0445 \u0431\u043e\u0442\u0430\u045e: 823 (31.2%)\npattern: 12 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u0437 \u0456\u0445 \u0431\u043e\u0442\u0430\u045e: 12 (100.0%)\n\u0410\u043d\u0430\u043b\u0456\u0437 \u0441\u043a\u043e\u0440\u0430\u045e \u0431\u043e\u0442\u0430\u045e (\u043f\u0430\u0440\u043e\u0433 = 0.5):\n\u0421\u044f\u0440\u044d\u0434\u043d\u0456 \u0441\u043a\u043e\u0440: 0.208\n\u041c\u0435\u0434\u044b\u044f\u043d\u043d\u044b \u0441\u043a\u043e\u0440: 0.100\n\u041a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0437 \u0432\u044b\u0441\u043e\u043a\u0456\u043c \u0441\u043a\u043e\u0440\u0430\u043c (>=0.6): 12809 (13.1%)\n\u0420\u0430\u0437\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435 \u0441\u043a\u043e\u0440\u0430\u045e:\n<img class=\"alignnone  wp-image-3483\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores.png\" alt=\"\" width=\"645\" height=\"389\" \/>\n\u0414\u0430\u0434\u0437\u0435\u043d\u044b \u0433\u0440\u0430\u0444\u0456\u043a \u0434\u044d\u043c\u0430\u043d\u0441\u0442\u0440\u0443\u0435 \u0431\u0456\u043c\u0430\u0434\u0430\u043b\u044c\u043d\u0430\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435 \u0430\u0446\u044d\u043d\u0430\u043a \u0431\u043e\u0442\u0430\u045e (bot_score). \u0410\u0441\u043d\u043e\u045e\u043d\u0430\u044f \u043c\u0430\u0441\u0430 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u043c\u0430\u0435 \u043d\u0456\u0437\u043a\u0456 bot_score (\u043a\u0430\u043b\u044f 0.1), \u0448\u0442\u043e \u0430\u0434\u043f\u0430\u0432\u044f\u0434\u0430\u0435 \u0437\u0432\u044b\u0447\u0430\u0439\u043d\u044b\u043c \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0430\u043c. \u0410\u0434\u043d\u0430\u043a \u0437\u0430\u045e\u0432\u0430\u0436\u043d\u044b \u0437\u043d\u0430\u0447\u043d\u044b\u044f \u043f\u0456\u043a\u0456 \u045e \u0434\u044b\u044f\u043f\u0430\u0437\u043e\u043d\u0435 0.6-0.9, \u0448\u0442\u043e \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0435 \u043d\u0430 \u043d\u0430\u044f\u045e\u043d\u0430\u0441\u0446\u044c \u0431\u043e\u0442\u0430\u045e \u0437 \u0432\u044b\u0441\u043e\u043a\u0430\u0439 \u0441\u0442\u0443\u043f\u0435\u043d\u043d\u044e \u045e\u043f\u044d\u045e\u043d\u0435\u043d\u0430\u0441\u0446\u0456. \u0427\u044b\u0440\u0432\u043e\u043d\u0430\u044f \u043f\u0443\u043d\u043a\u0446\u0456\u0440\u043d\u0430\u044f \u043b\u0456\u043d\u0456\u044f \u043d\u0430 \u0430\u0434\u0437\u043d\u0430\u0446\u044b 0.5 \u043f\u0430\u0437\u043d\u0430\u0447\u0430\u0435 \u043f\u0430\u0440\u043e\u0433 \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0446\u044b\u0456, \u0432\u044b\u0448\u044d\u0439 \u044f\u043a\u043e\u0433\u0430 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0439 \u043b\u0456\u0447\u044b\u0446\u0446\u0430 \u0441\u0442\u0432\u043e\u0440\u0430\u043d\u044b\u043c \u0431\u043e\u0442\u0430\u043c. \u0422\u0430\u043a\u043e\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435 \u043f\u0430\u0446\u0432\u044f\u0440\u0434\u0436\u0430\u0435 \u044d\u0444\u0435\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c \u0430\u043b\u0433\u0430\u0440\u044b\u0442\u043c\u0443 \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0446\u044b\u0456, \u044f\u043a\u0456 \u0432\u044b\u0440\u0430\u0437\u043d\u0430 \u043f\u0430\u0434\u0437\u044f\u043b\u044f\u0435 \u0437\u0432\u044b\u0447\u0430\u0439\u043d\u044b\u0445 \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0430\u045e \u0456 \u0431\u043e\u0442\u0430\u045e.\n<strong>\u041a\u043b\u044e\u0447\u0430\u0432\u044b\u044f \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0430\u0446\u044b\u0456<\/strong>\n\u041a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044c \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e vs \u0410\u0446\u044d\u043d\u043a\u0456 \u0431\u043e\u0442\u0430\u045e:\n<img class=\"alignnone  wp-image-3491\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_scores_comments.png\" alt=\"\" width=\"648\" height=\"515\" \/>\n\u041d\u0430 \u0433\u044d\u0442\u044b\u043c \u0433\u0440\u0430\u0444\u0456\u043a\u0443 \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0430\u0432\u0430\u043d\u0430 \u0437\u0430\u043b\u0435\u0436\u043d\u0430\u0441\u0446\u044c \u043f\u0430\u043c\u0456\u0436 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044e \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0430\u045e\u0442\u0430\u0440\u0430 \u0456 \u044f\u0433\u043e \u0430\u0446\u044d\u043d\u043a\u0430\u0439 \u0431\u043e\u0442\u0430. \u0410\u0440\u0430\u043d\u0436\u0430\u0432\u044b\u044f \u043a\u0440\u043e\u043f\u043a\u0456 \u045e\u044f\u045e\u043b\u044f\u044e\u0446\u044c \u0430\u043a\u0430\u045e\u043d\u0442\u044b, \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0432\u0430\u043d\u044b\u044f \u044f\u043a \u0431\u043e\u0442\u044b (bot_score >= 0.5), \u0441\u0456\u043d\u0456\u044f - \u044f\u043a \u0437\u0432\u044b\u0447\u0430\u0439\u043d\u044b\u044f \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0456. \u041f\u0430\u043c\u0435\u0440 \u043a\u0440\u043e\u043f\u043a\u0456 \u0430\u0434\u043f\u0430\u0432\u044f\u0434\u0430\u0435 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u0456 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e. \u0412\u0456\u0434\u0430\u0446\u044c, \u0448\u0442\u043e \u0431\u043e\u043b\u044c\u0448\u0430\u0441\u0446\u044c \u0431\u043e\u0442\u0430\u045e \u043f\u0430\u043a\u0456\u0434\u0430\u0435 \u043d\u0435\u0432\u044f\u043b\u0456\u043a\u0443\u044e \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044c \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e (\u0434\u0430 100), \u0430\u043b\u0435 \u043c\u0430\u0435 \u0432\u044b\u0441\u043e\u043a\u0456 bot_score (0.6-1.0). \u0410\u0434\u043d\u0430\u043a \u0451\u0441\u0446\u044c \u0456 \u0431\u043e\u0442\u044b, \u044f\u043a\u0456\u044f \u043f\u0430\u043a\u0456\u043d\u0443\u043b\u0456 \u0441\u043e\u0442\u043d\u0456 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e. \u0427\u044b\u0440\u0432\u043e\u043d\u0430\u044f \u043f\u0443\u043d\u043a\u0446\u0456\u0440\u043d\u0430\u044f \u043b\u0456\u043d\u0456\u044f \u043f\u0430\u0437\u043d\u0430\u0447\u0430\u0435 \u043f\u0430\u0440\u043e\u0433 \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0446\u044b\u0456 (0.5). \u0413\u0440\u0430\u0444\u0456\u043a \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0435, \u0448\u0442\u043e \u0441\u0430\u043f\u0440\u0430\u045e\u0434\u043d\u044b\u044f \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0456 \u043c\u043e\u0433\u0443\u0446\u044c \u0431\u044b\u0446\u044c \u0432\u0435\u043b\u044c\u043c\u0456 \u0430\u043a\u0442\u044b\u045e\u043d\u044b\u043c\u0456 (\u0434\u0430 500+ \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e), \u0430\u043b\u0435 \u0456\u0445 bot_score \u0437\u0430\u0441\u0442\u0430\u0435\u0446\u0446\u0430 \u043d\u0456\u0437\u043a\u0456\u043c, \u0448\u0442\u043e \u043f\u0430\u0446\u0432\u044f\u0440\u0434\u0436\u0430\u0435 \u043d\u0430\u0434\u0437\u0435\u0439\u043d\u0430\u0441\u0446\u044c \u043c\u0435\u0442\u0430\u0434\u0443 \u0434\u044d\u0442\u044d\u043a\u0446\u044b\u0456.\n\u0420\u0430\u0437\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435 \u0431\u043e\u0442\u0430\u045e \u043f\u0430 \u0441\u043a\u043e\u0440\u0430\u0445 \u0456 \u043b\u0456\u043a\u0443 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e:\n<img class=\"alignnone  wp-image-3494\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score-comments.png\" alt=\"\" width=\"671\" height=\"384\" \/>\n\u0414\u0430\u0434\u0437\u0435\u043d\u044b \u0433\u0440\u0430\u0444\u0456\u043a \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0435 \u0447\u0430\u0441\u0442\u043e\u0442\u043d\u0430\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435 \u0437\u043d\u0430\u0447\u044d\u043d\u043d\u044f\u045e bot_score \u0442\u043e\u043b\u044c\u043a\u0456 \u0434\u043b\u044f \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0432\u0430\u043d\u044b\u0445 \u044f\u043a \u0431\u043e\u0442\u044b (bot_score >= 0.5). \u0417\u0430\u045e\u0432\u0430\u0436\u043d\u0430, \u0448\u0442\u043e \u043d\u0430\u0439\u0431\u043e\u043b\u044c\u0448\u0430\u044f \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044c \u0431\u043e\u0442-\u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u043c\u0430\u0435 \u0430\u0446\u044d\u043d\u043a\u0456 \u043a\u0430\u043b\u044f 0.7 \u0456 0.85, \u0448\u0442\u043e \u0444\u0430\u0440\u043c\u0456\u0440\u0443\u0435 \u0434\u0432\u0430 \u0432\u044b\u044f\u045e\u043b\u0435\u043d\u044b\u044f \u043f\u0456\u043a\u0456. \u0413\u044d\u0442\u0430 \u043c\u043e\u0436\u0430 \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0446\u044c \u043d\u0430 \u0434\u0432\u0430 \u0440\u043e\u0437\u043d\u044b\u044f \u0442\u044b\u043f\u044b \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e \u0430\u0431\u043e \u0430\u045e\u0442\u0430\u043c\u0430\u0442\u044b\u0437\u0430\u0432\u0430\u043d\u044b\u0445 \u0441\u0456\u0441\u0442\u044d\u043c \u0437 \u0440\u043e\u0437\u043d\u044b\u043c\u0456 \u0445\u0430\u0440\u0430\u043a\u0442\u0430\u0440\u044b\u0441\u0442\u044b\u043a\u0430\u043c\u0456 \u043f\u0430\u0432\u043e\u0434\u0437\u0456\u043d. \u041d\u0430\u044f\u045e\u043d\u0430\u0441\u0446\u044c \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0441\u0430 \u0437\u043d\u0430\u0447\u044d\u043d\u043d\u044f\u043c\u0456 bot_score, \u0431\u043b\u0456\u0437\u043a\u0456\u043c\u0456 \u0434\u0430 1.0, \u043a\u0430\u0436\u0430 \u043f\u0440\u0430 \u0442\u043e\u0435, \u0448\u0442\u043e \u0441\u0456\u0441\u0442\u044d\u043c\u0430 \u0432\u044b\u044f\u0432\u0456\u043b\u0430 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0456 \u0437 \u0432\u0435\u043b\u044c\u043c\u0456 \u0432\u044b\u0441\u043e\u043a\u0430\u0439 \u0432\u0435\u0440\u0430\u0433\u043e\u0434\u043d\u0430\u0441\u0446\u044e \u043f\u0440\u044b\u043d\u0430\u043b\u0435\u0436\u043d\u0430\u0441\u0446\u0456 \u0434\u0430 \u0431\u043e\u0442\u0430\u045e, \u0448\u0442\u043e \u043f\u0430\u0446\u0432\u044f\u0440\u0434\u0436\u0430\u0435 \u0434\u0430\u043a\u043b\u0430\u0434\u043d\u0430\u0441\u0446\u044c \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0446\u044b\u0456.\n\u0411\u043e\u0442\u044b-\u0430\u045e\u0442\u0430\u0440\u044b, \u044f\u043a\u0456\u044f \u0437\u0440\u0430\u0431\u0456\u043b\u0456 \u043d\u0430\u0439\u0431\u043e\u043b\u044c\u0448 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e:\n<img class=\"alignnone  wp-image-3495\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_score_authors-comments.png\" alt=\"\" width=\"643\" height=\"417\" \/>\n\u0413\u0440\u0430\u0444\u0456\u043a \u0456\u043b\u044e\u0441\u0442\u0440\u0443\u0435 20 \u0430\u043a\u0430\u045e\u043d\u0442\u0430\u045e, \u044f\u043a\u0456\u044f \u043f\u0430\u043a\u0456\u043d\u0443\u043b\u0456 \u043d\u0430\u0439\u0431\u043e\u043b\u044c\u0448\u0443\u044e \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044c \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e, \u043a\u043b\u0430\u0441\u0456\u0444\u0456\u043a\u0430\u0432\u0430\u043d\u044b\u0445 \u044f\u043a \u0431\u043e\u0446\u043a\u0456\u044f. \u041b\u0456\u0434\u0437\u0456\u0440\u0443\u0435 \u0430\u043a\u0430\u045e\u043d\u0442 @NataliaPetrova \u0437 \u043f\u0440\u044b\u0431\u043b\u0456\u0437\u043d\u0430 250 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u043c\u0456, \u0448\u0442\u043e \u0437\u043d\u0430\u0447\u043d\u0430 \u043f\u0435\u0440\u0430\u0432\u044b\u0448\u0430\u0435 \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0430\u0433\u0430 \u043f\u0430 \u0441\u043f\u0456\u0441\u0435 \u0430\u043a\u0430\u045e\u043d\u0442\u0430 (@Dushman) \u0437 \u043f\u0440\u044b\u043a\u043b\u0430\u0434\u043d\u0430 100 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u043c\u0456. \u0417\u0430\u045e\u0432\u0430\u0436\u043d\u0430 \u0432\u044b\u0440\u0430\u0437\u043d\u0430\u044f \u0433\u0440\u0430\u0434\u0430\u0446\u044b\u044f \u043a\u043e\u043b\u0435\u0440\u0430\u045e, \u0448\u0442\u043e \u0434\u0430\u0437\u0432\u0430\u043b\u044f\u0435 \u0432\u0456\u0437\u0443\u0430\u043b\u044c\u043d\u0430 \u0430\u0446\u0430\u043d\u0456\u0446\u044c \u0440\u043e\u0437\u043d\u0456\u0446\u0443 \u045e \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u0456. \u0422\u043e\u043f-3 \u0430\u043a\u0430\u045e\u043d\u0442\u044b (@NataliaPetrova, @Dushman \u0456 @\u0410\u0417\u042a\u0424\u0420\u0421\u0421\u0421\u0420) \u0434\u044d\u043c\u0430\u043d\u0441\u0442\u0440\u0443\u044e\u0446\u044c \u0430\u0441\u0430\u0431\u043b\u0456\u0432\u0430 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u0430\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c, \u0448\u0442\u043e \u043c\u043e\u0436\u0430 \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0446\u044c \u043d\u0430 \u0456\u0445 \u043f\u0440\u044b\u044f\u0440\u044b\u0442\u044d\u0442\u043d\u0443\u044e \u0440\u043e\u043b\u044e \u045e \u0431\u043e\u0442\u043d\u0435\u0442-\u0456\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u0456 \u043d\u0435\u0430\u0431\u0445\u043e\u0434\u043d\u0430\u0441\u0446\u044c \u0430\u0441\u0430\u0431\u043b\u0456\u0432\u0430\u0433\u0430 \u043c\u0430\u043d\u0456\u0442\u043e\u0440\u044b\u043d\u0433\u0443 \u0456\u0445 \u0434\u0437\u0435\u0439\u043d\u0430\u0441\u0446\u0456.\n\u0423\u0437\u0430\u0435\u043c\u0430\u0441\u0443\u0432\u044f\u0437\u044c \u043f\u0430\u043c\u0456\u0436 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044e \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0456 \u043f\u0440\u0430\u0446\u044d\u043d\u0442\u0430\u043c \u0431\u043e\u0442\u0430\u045e:\n<img class=\"alignnone  wp-image-3499\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_bots-percents-comments.png\" alt=\"\" width=\"664\" height=\"429\" \/>\n\u0413\u044d\u0442\u044b \u0433\u0440\u0430\u0444\u0456\u043a \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0435 \u045e\u0437\u0430\u0435\u043c\u0430\u0441\u0443\u0432\u044f\u0437\u044c \u043f\u0430\u043c\u0456\u0436 \u0430\u0433\u0443\u043b\u044c\u043d\u0430\u0439 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044e \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u043f\u0430\u0434 \u0432\u0456\u0434\u044d\u0430 \u0456 \u043f\u0440\u0430\u0446\u044d\u043d\u0442\u0430\u043c \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0430\u0434 \u0431\u043e\u0442\u0430\u045e. \u041a\u0430\u043b\u044f\u0440\u043e\u0432\u0430\u044f \u0448\u043a\u0430\u043b\u0430 \u0430\u0434\u043b\u044e\u0441\u0442\u0440\u043e\u045e\u0432\u0430\u0435 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044c \u0431\u043e\u0442\u0430\u045e. \u0427\u044b\u0440\u0432\u043e\u043d\u0430\u044f \u043f\u0443\u043d\u043a\u0446\u0456\u0440\u043d\u0430\u044f \u043b\u0456\u043d\u0456\u044f \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0435 \u0441\u044f\u0440\u044d\u0434\u043d\u0456 \u043f\u0440\u0430\u0446\u044d\u043d\u0442 \u0431\u043e\u0442\u0430\u045e (62.1%) \u043f\u0430 \u045e\u0441\u0451\u0439 \u0432\u044b\u0431\u0430\u0440\u0446\u044b. \u0426\u0456\u043a\u0430\u0432\u0430, \u0448\u0442\u043e \u0432\u0456\u0434\u044d\u0430 \u0437 \u043c\u0435\u043d\u0448\u0430\u0439 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044e \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e (\u0434\u0430 500) \u0441\u0445\u0456\u043b\u044c\u043d\u044b\u044f \u0434\u0430 \u0431\u043e\u043b\u044c\u0448\u0430\u0433\u0430 \u043f\u0440\u0430\u0446\u044d\u043d\u0442\u0443 \u0431\u043e\u0442\u0430\u045e (\u0434\u0430 90%), \u0443 \u0442\u043e\u0439 \u0447\u0430\u0441 \u044f\u043a \u043f\u0430\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u044f \u0432\u0456\u0434\u044d\u0430 \u0437 \u0432\u044f\u043b\u0456\u043a\u0430\u0439 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044e \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e (1500+) \u0437\u0432\u044b\u0447\u0430\u0439\u043d\u0430 \u043c\u0430\u044e\u0446\u044c \u043c\u0435\u043d\u0448\u044b \u043f\u0440\u0430\u0446\u044d\u043d\u0442 \u0431\u043e\u0442\u0430\u045e (\u043a\u0430\u043b\u044f 20-35%). \u0413\u044d\u0442\u0430 \u043c\u043e\u0436\u0430 \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0446\u044c \u043d\u0430 \u0441\u0442\u0440\u0430\u0442\u044d\u0433\u0456\u044e \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e: \u044f\u043d\u044b \u0456\u043c\u043a\u043d\u0443\u0446\u0446\u0430 \u0434\u0430\u043c\u0456\u043d\u0430\u0432\u0430\u0446\u044c \u0443 \u0430\u0431\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u044f\u0445 \u043c\u0435\u043d\u0448 \u043f\u0430\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0445 \u0432\u0456\u0434\u044d\u0430, \u0434\u0437\u0435 \u0456\u0445 \u0443\u043f\u043b\u044b\u045e \u0431\u0443\u0434\u0437\u0435 \u0431\u043e\u043b\u044c\u0448 \u043f\u0440\u044b\u043a\u043c\u0435\u0442\u043d\u044b\u043c, \u0456 \u0434\u0437\u0435 \u0456\u043c \u043b\u044f\u0433\u0447\u044d\u0439 \"\u043f\u0435\u0440\u0430\u043a\u0440\u044b\u0447\u0430\u0446\u044c\" \u0441\u0430\u043f\u0440\u0430\u045e\u0434\u043d\u044b\u0445 \u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043b\u044c\u043d\u0456\u043a\u0430\u045e.\n<strong>\u0412\u0456\u0434\u044d\u0430, \u044f\u043a\u0456\u044f \u043d\u0430\u0439\u0431\u043e\u043b\u044c\u0448 \u043f\u0430\u0434\u0432\u0435\u0440\u0433\u043b\u0456\u0441\u044f \u0430\u0442\u0430\u043a\u0430\u043c \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e<\/strong>\n<img class=\"alignnone  wp-image-3498\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_video-bots-scaled.png\" alt=\"\" width=\"729\" height=\"396\" \/>\n\u0413\u0440\u0430\u0444\u0456\u043a \u0443 \u0433\u044d\u0442\u044b\u043c \u0440\u0430\u0437\u0434\u0437\u0435\u043b\u0435 \u043f\u0440\u0430\u0434\u0441\u0442\u0430\u045e\u043b\u044f\u0435 \u0440\u0430\u0437\u043c\u0435\u0440\u043a\u0430\u0432\u0430\u043d\u043d\u0435 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u043f\u0430\u043c\u0456\u0436 \u0431\u043e\u0442\u0430\u043c\u0456 (\u0447\u044b\u0440\u0432\u043e\u043d\u044b\u044f \u0441\u043b\u0443\u043f\u043a\u0456) \u0456 \u043b\u044e\u0434\u0437\u044c\u043c\u0456 (\u0431\u0456\u0440\u0443\u0437\u043e\u0432\u044b\u044f \u0441\u043b\u0443\u043f\u043a\u0456) \u0434\u043b\u044f \u0440\u043e\u0437\u043d\u044b\u0445 \u0432\u0456\u0434\u044d\u0430. \u041d\u0430\u0439\u0431\u043e\u043b\u044c\u0448 \u0441\u0445\u0456\u043b\u044c\u043d\u044b\u043c\u0456 \u0434\u0430 \u0430\u0442\u0430\u043a \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e \u0437'\u044f\u045e\u043b\u044f\u044e\u0446\u0446\u0430 \u0432\u0456\u0434\u044d\u0430 \u0437 \u043f\u0430\u043b\u0456\u0442\u044b\u0447\u043d\u044b\u043c \u0437\u043c\u0435\u0441\u0442\u0430\u043c, \u0430\u0441\u0430\u0431\u043b\u0456\u0432\u0430 \u0442\u044b\u044f, \u0434\u0437\u0435 \u0444\u0456\u0433\u0443\u0440\u0443\u0435 \u041b\u0443\u043a\u0430\u0448\u044d\u043d\u043a\u0430 (\"\u041b\u0443\u043a\u0430\u0448\u044d\u043d\u043a\u0430 \u043f\u0430\u0434\u0430\u045e \u0443 \u0441\u0443\u0434...\", \"\u041b\u0443\u043a\u0430\u0448\u044d\u043d\u043a\u0430 \u0421\u0410\u0420\u0412\u0410\u040e\u0421\u042f \u043d\u0430 \u0447\u044b\u043d\u043e\u045e\u043d\u0456\u043a\u0430\u045e...\", \"\u041b\u0443\u043a\u0430\u0448\u044d\u043d\u043a\u0430 \u0431\u0443\u0434\u0437\u0435 \u045e \u0442\u0440\u044b\u0431\u0443\u043d\u0430\u043b\u0435...\" \u0456 \u0433.\u0434.).\n\u0426\u0456\u043a\u0430\u0432\u0430 \u0430\u0434\u0437\u043d\u0430\u0447\u044b\u0446\u044c, \u0448\u0442\u043e \u043c\u0430\u0446\u043d\u0435\u0439 \u0437\u0430 \u045e\u0441\u0451 \u0430\u0442\u0430\u043a\u0430\u043c \u0431\u043e\u0442\u0430\u045e \u043f\u0430\u0434\u0432\u0435\u0440\u0433\u043b\u0456\u0441\u044f \u0432\u0456\u0434\u044d\u0430 \u0437 \u043a\u0440\u044b\u0442\u044b\u0447\u043d\u044b\u043c \u0430\u0431\u043e \u043d\u0435\u0433\u0430\u0442\u044b\u045e\u043d\u044b\u043c \u0437\u043c\u0435\u0441\u0442\u0430\u043c \u043f\u0440\u0430 \u041b\u0443\u043a\u0430\u0448\u044d\u043d\u043a\u0443, \u0434\u0437\u0435 \u043f\u0440\u0430\u0446\u044d\u043d\u0442 \u0431\u043e\u0442-\u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0434\u0430\u0441\u044f\u0433\u0430\u0435 40-50% \u0430\u0434 \u0430\u0433\u0443\u043b\u044c\u043d\u0430\u0439 \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u0456. \u0413\u044d\u0442\u0430 \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0435 \u043d\u0430 \u043c\u044d\u0442\u0430\u043d\u0430\u043a\u0456\u0440\u0430\u0432\u0430\u043d\u0443\u044e 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\u043d\u0430\u0439\u0431\u043e\u043b\u044c\u0448\u0443\u044e \u0430\u0431\u0441\u0430\u043b\u044e\u0442\u043d\u0443\u044e \u043a\u043e\u043b\u044c\u043a\u0430\u0441\u0446\u044c \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0456 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u0434\u043e\u043b\u044e \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0430\u0434 \u0440\u044d\u0430\u043b\u044c\u043d\u044b\u0445 \u043b\u044e\u0434\u0437\u0435\u0439. \u0413\u044d\u0442\u0430 \u043c\u043e\u0436\u0430 \u043f\u0430\u043a\u0430\u0437\u0432\u0430\u0446\u044c \u043d\u0430 \u0442\u043e\u0435, \u0448\u0442\u043e \u0441\u0430\u0446\u044b\u044f\u043b\u044c\u043d\u0430-\u044d\u043a\u0430\u043d\u0430\u043c\u0456\u0447\u043d\u044b\u044f \u0442\u044d\u043c\u044b \u0432\u044b\u043a\u043b\u0456\u043a\u0430\u044e\u0446\u044c \u043d\u0430\u0439\u0431\u043e\u043b\u044c\u0448\u0443\u044e \u043d\u0430\u0442\u0443\u0440\u0430\u043b\u044c\u043d\u0443\u044e 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\u043f\u0430\u0446\u0432\u044f\u0440\u0434\u0436\u0430\u0435 \u0433\u0456\u043f\u043e\u0442\u044d\u0437\u0443 \u043f\u0440\u0430 \u043c\u044d\u0442\u0430\u043d\u0430\u043a\u0456\u0440\u0430\u0432\u0430\u043d\u0430\u0435 \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u0430\u043d\u043d\u0435 \u0431\u043e\u0442\u043d\u0435\u0442\u0430\u045e \u0434\u043b\u044f \u043c\u0430\u043d\u0456\u043f\u0443\u043b\u044f\u0446\u044b\u0456 \u0433\u0440\u0430\u043c\u0430\u0434\u0441\u043a\u0430\u0439 \u0434\u0443\u043c\u043a\u0430\u0439 \u0443 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0456\u043c \u0441\u0435\u0433\u043c\u0435\u043d\u0446\u0435 YouTube.\n<strong>\u0412\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0430\u0446\u044b\u044f \u0441\u0435\u0442\u043a\u0456 \u0431\u043e\u0442\u0430\u045e<\/strong>\n\u0417\u043d\u043e\u0439\u0434\u0437\u0435\u043d\u0430 7 \u0441\u0443\u043f\u043e\u043b\u044c\u043d\u0430\u0441\u0446\u044f\u045e\n<img class=\"alignnone  wp-image-3479\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/bot_network.png\" alt=\"\" width=\"529\" height=\"529\" \/><img class=\"alignnone  wp-image-3489\" src=\"https:\/\/factcheck.lt\/wp-content\/uploads\/2025\/05\/youtube_bots_network_legengs.png\" alt=\"\" width=\"250\" height=\"241\" \/>\n\u0422\u043e\u043f-5 \u043d\u0430\u0439\u0431\u0443\u0439\u043d\u0435\u0439\u0448\u044b\u0445 \u0441\u0443\u043f\u043e\u043b\u044c\u043d\u0430\u0441\u0446\u044f\u045e:\n\n\u0421\u0443\u043f\u043e\u043b\u044c\u043d\u0430\u0441\u0446\u044c 3: 847 \u0431\u043e\u0442\u0430\u045e\n\u0421\u0443\u043f\u043e\u043b\u044c\u043d\u0430\u0441\u0446\u044c 1: 542 \u0431\u043e\u0442\u0430\u045e\n\u0421\u0443\u043f\u043e\u043b\u044c\u043d\u0430\u0441\u0446\u044c 0: 424 \u0431\u043e\u0442\u0430\u045e\n\u0421\u0443\u043f\u043e\u043b\u044c\u043d\u0430\u0441\u0446\u044c 4: 313 \u0431\u043e\u0442\u0430\u045e\n\u0421\u0443\u043f\u043e\u043b\u044c\u043d\u0430\u0441\u0446\u044c 2: 292 \u0431\u043e\u0442\u0430\u045e\n\n\u0410\u043d\u0430\u043b\u0456\u0437 \u0432\u044b\u044f\u0432\u0456\u045e \u0443\u043c\u0435\u0440\u0430\u043d\u0430\u0435, \u0430\u043b\u0435 \u0437\u043d\u0430\u0447\u043d\u0430\u0435 \u043f\u0440\u044b\u0441\u0443\u0442\u043d\u0430\u0441\u0446\u044c \u0431\u043e\u0442\u0430\u045e (14.1%) \u0443 \u0432\u044b\u0431\u0430\u0440\u0446\u044b \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e. \u0411\u043e\u0442\u044b \u0432\u044b\u043a\u0430\u0440\u044b\u0441\u0442\u043e\u045e\u0432\u0430\u044e\u0446\u0446\u0430 \u045e \u0430\u0441\u043d\u043e\u045e\u043d\u044b\u043c \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u0430\u045e\u0441\u044e\u0434\u0436\u0432\u0430\u043d\u043d\u044f \u043f\u0430\u043b\u0456\u0442\u044b\u0447\u043d\u044b\u0445 \u043f\u0430\u0432\u0435\u0434\u0430\u043c\u043b\u0435\u043d\u043d\u044f\u045e \u0456 \u0441\u043f\u0430\u043c\u0443. \u0411\u043e\u043b\u044c\u0448\u0430\u0441\u0446\u044c \u0430\u043a\u0442\u044b\u045e\u043d\u044b\u0445 \u0430\u045e\u0442\u0430\u0440\u0430\u045e \u0437'\u044f\u045e\u043b\u044f\u044e\u0446\u0446\u0430 \u0440\u044d\u0430\u043b\u044c\u043d\u044b\u043c\u0456 \u043b\u044e\u0434\u0437\u044c\u043c\u0456.\n\u0421\u0456\u0441\u0442\u044d\u043c\u0430 <strong>RAG-Bot Detector<\/strong> \u043f\u0430\u043a\u0430\u0437\u0430\u043b\u0430 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u044d\u0444\u0435\u043a\u0442\u044b\u045e\u043d\u0430\u0441\u0446\u044c, \u043f\u0430\u0441\u043f\u044f\u0445\u043e\u0432\u0430 \u043f\u0440\u0430\u0430\u043d\u0430\u043b\u0456\u0437\u0430\u0432\u0430\u045e\u0448\u044b \u0430\u043c\u0430\u043b\u044c 98,000 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u044f\u045e \u0437 \u0432\u044b\u0440\u0430\u0437\u043d\u044b\u043c \u043f\u0430\u0434\u0437\u0435\u043b\u0430\u043c \u043d\u0430 \u0431\u043e\u0442\u0430\u045e \u0456 \u043b\u044e\u0434\u0437\u0435\u0439. \u0414\u0430\u043b\u0435\u0439\u0448\u0430\u0435 \u043f\u0430\u0448\u044b\u0440\u044d\u043d\u043d\u0435 \u0431\u0430\u0437\u044b \u043f\u0430\u0442\u044d\u0440\u043d\u0430\u045e \u043c\u043e\u0436\u0430 \u043f\u0430\u0441\u043a\u043e\u0440\u044b\u0446\u044c \u0431\u0443\u0434\u0443\u0447\u044b\u044f \u0430\u043d\u0430\u043b\u0456\u0437\u044b.\n\u0412\u044b\u043d\u0456\u043a\u0456 \u0441\u0432\u0435\u0434\u0447\u0430\u0446\u044c \u0430\u0431 \u0437\u043d\u0430\u0447\u043d\u044b\u043c, \u0430\u043b\u0435 \u043d\u0435 \u043a\u0440\u044b\u0442\u044b\u0447\u043d\u044b\u043c \u0443\u0437\u0440\u043e\u045e\u043d\u0456 \u043c\u0430\u043d\u0456\u043f\u0443\u043b\u044f\u0446\u044b\u0456 \u0433\u0440\u0430\u043c\u0430\u0434\u0441\u043a\u0430\u0439 \u0434\u0443\u043c\u043a\u0430\u0439 \u043f\u0440\u0430\u0437 \u043a\u0430\u043c\u0435\u043d\u0442\u0430\u0440\u044b\u0456 YouTube, \u0448\u0442\u043e \u043f\u0430\u0442\u0440\u0430\u0431\u0443\u0435 \u043f\u0440\u0430\u0446\u044f\u0433\u0443 \u043c\u0430\u043d\u0456\u0442\u043e\u0440\u044b\u043d\u0433\u0443 \u0456 \u0430\u043d\u0430\u043b\u0456\u0437\u0443.","_bel_post_name":"","_bel_post_excerpt":"","_bel_post_title":"\u041b\u0456\u0447\u0431\u0430\u0432\u044b\u044f \u0441\u0430\u043b\u0434\u0430\u0442\u044b \u0434\u044d\u0437\u0456\u043d\u0444\u0430\u0440\u043c\u0430\u0446\u044b\u0456: \u0431\u043e\u0442\u043d\u0435\u0442\u044b \u043d\u0430 \u0431\u0435\u043b\u0430\u0440\u0443\u0441\u043a\u0456\u043c YouTube","_lt_post_content":"","_lt_post_name":"","_lt_post_excerpt":"","_lt_post_title":"","edit_language":"eng","footnotes":""},"categories":[3,6,1],"tags":[],"_links":{"self":[{"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/posts\/3478"}],"collection":[{"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/comments?post=3478"}],"version-history":[{"count":14,"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/posts\/3478\/revisions"}],"predecessor-version":[{"id":3504,"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/posts\/3478\/revisions\/3504"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/media\/3503"}],"wp:attachment":[{"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/media?parent=3478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/categories?post=3478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/factcheck.lt\/eng\/wp-json\/wp\/v2\/tags?post=3478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}