4,552 materials · 9 countries monitored · Baltic + Weimar Triangle + V4
|
4,552
Total materials
|
1,740
AI deep-analyzed
|
1374
Propaganda identified
|
655
High risk
|
9
Countries monitored
|
• Top target by volume: 🇫🇷 France: 1,465 materials. Followed by: 🇩🇪 Germany (1,408), 🇵🇱 Poland (957).
• Top narrative: Military buildup: 351 materials in deep analysis (26% of identified propaganda).
• Multimodal FIMI on YouTube: Baltic cluster 0.0%, Weimar Triangle 0.0%. Highest country: 🇵🇱 Poland (0% on 192 videos).
• AI: 1,740 materials processed, 655 flagged as HIGH risk (37.6%). 1374 identified as propaganda (excluding neutral and not-about-targets).
• Coordination: TASS cited in 164 materials — primary amplification pipeline from Russian state media. 72 coordination events detected across 31 days.
Mentions by Country
🇫🇷 France leads with 1,465 materials.
| 🔶 🇵🇱 Poland | 957 | |
| 🔵 🇱🇹 Lithuania | 735 | |
| 🔵 🇱🇻 Latvia | 917 | |
| 🔵 🇪🇪 Estonia | 435 | |
| 🔶 🇩🇪 Germany | 1,408 | |
| 🔶 🇫🇷 France | 1,465 | |
| 🟢 🇨🇿 Czech Republic | 237 | |
| 🟢 🇭🇺 Hungary | 180 | |
| 🟢 🇸🇰 Slovakia | 149 |
Propaganda Narratives
| Country | Propaganda materials | Dominant narrative | Distinctive feature |
|---|---|---|---|
| 🔶 🇵🇱 Poland | 413 | Military buildup (37%) | Military buildup 37% |
| 🔵 🇱🇹 Lithuania | 359 | Military buildup (36%) | Military buildup 36% |
| 🔵 🇱🇻 Latvia | 293 | Military buildup (44%) | Military buildup 44% |
| 🔵 🇪🇪 Estonia | 143 | Military buildup (44%) | Military buildup 44% |
| 🔶 🇩🇪 Germany | 371 | Military buildup (33%) | Military buildup 33% |
| 🔶 🇫🇷 France | 170 | Internal problems (31%) | Internal problems 31% |
| 🟢 🇨🇿 Czech Republic | 30 | Arms to Ukraine (24%) | 62 videos |
| 🟢 🇭🇺 Hungary | 46 | Military buildup (27%) | 43 videos |
| 🟢 🇸🇰 Slovakia | 49 | EU internal division (32%) | EU internal division 32% |
The Weimar Triangle countries (Poland, Germany, France) receive fundamentally different propaganda treatment than the Baltic states. While the Baltics face a monotonal military threat narrative (43–47%), each Weimar country is attacked through its unique perceived vulnerability.
|
🔵 Baltic States: military monotone
|
🔶 Weimar Triangle: diversified attack
|
The Visegrád Four (Poland, Czech Republic, Hungary, Slovakia) are framed through a third lens. Here the dominant narrative is EU internal division: Hungary and Slovakia are cast as the “voice of reason” against Brussels. Poland appears in both Weimar and V4 clusters as an analytical lens, not double-counted in totals.
|
🟢 V4: EU-division dominant
|
🇵🇱 Poland: two contexts
In the Weimar context Poland is attacked as a Western military partner; in the V4 context it appears among Central European neighbours where the EU-division frame dominates. One dataset, two strategic constructions. |
Hungary remains analytically significant but recedes in volume this month (down from the April peak). After Viktor Orbán lost the April election to Péter Magyar’s Tisza party, May shows the machine settling: the personalised storyline thins out and Hungary is folded back into the generic anti-EU militarist frame shared with the rest of the bloc.
| 27% | |
| 23% | |
| 14% | |
| 11% | |
| 7% | |
| 5% |
On May thumbnails the named figures all but vanish (Orbán 0, Magyar 1); the remaining Hungary coverage still runs hot (propaganda 7.91/10 on a small base).
Country Narrative Profiles
Each country has a distinct propaganda profile. Baltic states face a monotonal military threat; Weimar Triangle countries are attacked through individual vulnerabilities.
|
🇵🇱 Poland
|
🇱🇹 Lithuania
|
||||||||||||||||||||
|
🇱🇻 Latvia
|
🇪🇪 Estonia
|
||||||||||||||||||||
|
🇩🇪 Germany
|
🇫🇷 France
|
||||||||||||||||||||
|
🇨🇿 Czech Republic
|
🇭🇺 Hungary
|
||||||||||||||||||||
|
🇸🇰 Slovakia
|
Transcript analysis (codebook v3.0) combined with thumbnail visual analysis (Vision LLM, codebook v2.0) reveals how the same propaganda system uses different visual packaging for different target countries.
Cluster comparison
| Cluster | Videos | Clickbait | Propaganda | FIMI % |
|---|---|---|---|---|
| 🔵 Baltic States | 424 | 3.15 | 6.68 | 0.0% |
| 🔶 Weimar Triangle | 726 | 3.13 | 6.52 | 0.0% |
| 🟢 V4 | 320 | 3.23 | 6.75 | 0.0% |
| Country | Videos | Clickbait | Propaganda | FIMI % | Top visual technique |
|---|---|---|---|---|---|
| 🔶 🇵🇱 Poland | 192 | 3.31 | 6.54 | 0% | appeal_to_authority |
| 🔵 🇱🇹 Lithuania | 153 | 3.28 | 6.59 | 0% | appeal_to_fear |
| 🔵 🇱🇻 Latvia | 178 | 3.13 | 6.61 | 0% | appeal_to_fear |
| 🔵 🇪🇪 Estonia | 93 | 2.98 | 6.98 | 0% | appeal_to_authority |
| 🔶 🇩🇪 Germany | 265 | 3.15 | 6.44 | 0% | appeal_to_authority |
| 🔶 🇫🇷 France | 269 | 2.98 | 6.58 | 0% | appeal_to_authority |
| 🟢 🇨🇿 Czech Republic | 62 | 2.98 | 6.32 | 0% | none_detected |
| 🟢 🇭🇺 Hungary | 43 | 3.44 | 7.91 | 0% | appeal_to_fear |
| 🟢 🇸🇰 Slovakia | 23 | 2.78 | 7.56 | 0% | appeal_to_authority |
High-propaganda thumbnails: what the audience sees first
Real YouTube thumbnails from videos scored 8–9/10 on propaganda scale. These images are the first contact point with the audience — designed to trigger emotional response before the content is even consumed.
Cross-modal divergence: thumbnail vs content
A distinct May finding: for a share of videos the thumbnail is alarmist while the transcript’s assessed threat is low. The cover does emotional work the content does not. Divergence is highest for 🇱🇹 Lithuania (24.2%).
| Country | Divergence | Alarmist cover / low-threat text |
|---|---|---|
| 🔵 🇱🇹 Lithuania | 24.2% | 37/153 |
| 🔶 🇵🇱 Poland | 21.4% | 41/192 |
| 🔶 🇩🇪 Germany | 17.7% | 47/265 |
| 🔵 🇱🇻 Latvia | 16.9% | 30/178 |
| 🔶 🇫🇷 France | 14.5% | 39/269 |
| 🟢 🇭🇺 Hungary | 14.0% | 6/43 |
| 🟢 🇨🇿 Czech Republic | 11.3% | 7/62 |
| 🔵 🇪🇪 Estonia | 10.8% | 10/93 |
| 🟢 🇸🇰 Slovakia | 4.3% | 1/23 |
Claims for Fact-Checking
AI analysis extracted verifiable claims from high-risk materials. Claims are shown in the original Russian language as published by state media. Click ↗ to view the original material.
Verifiable claims requiring fact-check
Coordination
| Source | Citations |
|---|---|
| цитирование тасс | 125 |
| цитирование риа новости | 30 |
| цитирование белта | 25 |
| ссылка на тасс | 19 |
| цитирование тасс как источника | 12 |
| ссылка на белта как источник | 12 |
1. Two cluster strategies persist. In May 2026 the Baltic cluster (LT, LV, EE) accumulated 2,087 mentions, while the Weimar Triangle (PL, DE, FR) reached 3,830 mentions. Multimodal YouTube analysis shows Baltic FIMI at 0.0% and Weimar at 0.0% — both clusters operate as fully-formed propaganda targets, with comparable intensity.
2. 🇫🇷 France: top target by volume. With 1,465 materials, this country dominates the monitoring period. The dominant narrative is 31% Internal problems.
3. YouTube as propaganda amplifier. Multimodal analysis covered 1278 videos across the 6 target countries. The highest FIMI concentration is on 🇵🇱 Poland (0%)— almost every video mentioning this country contains foreign information manipulation indicators.
4. TASS as the coordination backbone. TASS cited in 164 of analyzed materials, followed by RIA Novosti (39). This confirms that Belarusian state media functions as an amplification layer for Kremlin messaging, not as an independent editorial operation.
5. Factual manipulation dominates. Of all detected manipulation types, factual manipulation (cherry-picking real data to distort conclusions) accounts for 2225 cases — more than emotional (1357) and logical (1089) combined. This makes the propaganda harder to detect than outright fabrication.
Methodology
Materials were collected from Belarusian state-owned media sources: BelTA, SB.BY, and state-linked YouTube channels across nine target countries: Poland, Lithuania, Latvia, Estonia, Germany, France, Slovakia, Hungaria, Czech Republic. AI deep analysis used GPT-5-mini with structured output. Multimodal YouTube analysis combines transcript codebook v3.0 with thumbnail Vision LLM codebook v2.0. Average AI confidence: 81.9%.







