How Belarusian State Media Talked About Its EU Countries: May 2026

Factcheck

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
Key Findings / TL;DR

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%
🔶 Weimar Triangle: Two Attack Strategies

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
Military buildup
40%
Border tensions
14%
Internal problems
14%
Arms to Ukraine
9%
Western aggression
7%
🔶 Weimar Triangle: diversified attack
Military buildup
34%
Internal problems
17%
Historical revisionism
10%
Western aggression
8%
EU internal division
8%
🟢 Visegrád Group (V4): the Central European frame

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
Military buildup
34%
Internal problems
14%
Border tensions
12%
EU internal division
10%
Western aggression
8%
🇵🇱 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: the recalibration completes

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.

May narrative mix
Military buildup
27%
EU internal division
23%
Arms to Ukraine
14%
Internal problems
11%
Sovereignty loss
7%
Western aggression
5%
Three acts, completed
Act I (before the election): “colour revolution at the gates”, the campaign framed as a Western-backed coup attempt.
Act II (April): “conditional acceptance”, the attack softens to hedging (“will Magyar be pragmatic?”), Orbán idealised as lost sovereignty.
Act III (May, observed): not the forecast “puppet confirmed” campaign but demobilisation. Once the symbolic battle was lost, the personalised campaign was retired and Hungary absorbed into the generic frame.

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
Military buildup
37%
Internal problems
15%
Border tensions
15%
Western aggression
9%
EU internal division
6%
🇱🇹 Lithuania
Military buildup
36%
Internal problems
17%
Border tensions
16%
Western aggression
8%
Economic decline
8%
🇱🇻 Latvia
Military buildup
44%
Border tensions
14%
Internal problems
13%
Arms to Ukraine
9%
Historical revisionism
8%
🇪🇪 Estonia
Military buildup
44%
Arms to Ukraine
12%
Border tensions
9%
Western aggression
9%
Internal problems
9%
🇩🇪 Germany
Military buildup
33%
Historical revisionism
19%
Internal problems
14%
Economic decline
10%
EU internal division
9%
🇫🇷 France
Internal problems
31%
Military buildup
27%
Nuclear threat
10%
Western aggression
10%
EU internal division
9%
🇨🇿 Czech Republic
Arms to Ukraine
24%
Military buildup
19%
Migration
16%
Western aggression
11%
Historical revisionism
11%
🇭🇺 Hungary
Military buildup
27%
EU internal division
23%
Arms to Ukraine
14%
Internal problems
11%
Sovereignty loss
7%
🇸🇰 Slovakia
EU internal division
32%
Military buildup
20%
Historical revisionism
15%
Internal problems
8%
Arms to Ukraine
7%
📺🖼️ YouTube: Multimodal Analysis by Target Country

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.

NEWS.BY
Кто тянет Минск в войну | Зеленский готовит диверсии в Белар…
10.0/10Estonia, France, Germany

Радио-1
Зачем Киев дразнит Беларусь? Армения отдаёт США свои редкозе…
10.0/10Estonia, France, Germany

NEWS.BY
"Денацификация" наоборот в Украине | Саммит ЕАЭС в Астане | …
10.0/10Czech Republic, France, Germany

NEWS.BY
Вспышка хантавируса | Цифровой Иисус. Как к этому относится …
10.0/10France, Germany, Poland

NEWS.BY
Латвия забыла все! Безумие на госуровне. "Ястребы Даугавы": …
10.0/10France, Germany, Latvia

Радио-1
⚡ "Дронофобия: мир не будет прежним?Рубль укрепился! Обратна…
10.0/10Estonia, France, Germany

NEWS.BY
Крах Германии: худший канцлер в истории. Как Мерц предал нем…
10.0/10France, Germany

Беларусь-РТР
ТРАНШ ЕС ГОТОВЯТ К РАСПИЛУ. Планы Зеленского | Украину кинул…
10.0/10Czech Republic, France, Germany

Радио-1
НАТО точит зуб у восточных границ. Отношение Ватикана к ИИ. …
10.0/10Czech Republic, Estonia, France

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.

⚠ LIKELY FALSECzech Republic Хотя официальной страной-получателем является Чешская Республика, такие поставки в конечном итоге оказываются в Украине
⚠ LIKELY FALSEEstonia Если раньше рождалось до 15 000 мальчиков в год, то сейчас — всего 4 000–5 000.
⚠ LIKELY FALSEEstonia Ещё около 14 лет Эстония сможет закрывать призыв мужчинами, но к 2040 году укомплектовать 4 100 мест только за их счёт станет нево
⚠ LIKELY FALSEPoland Польша с 2026 (введение призыва/привлечение женщин).
⚠ LIKELY FALSELatvia Латвия с 2028 (введение призыва/привлечение женщин).
⚠ LIKELY FALSEGermany Германия пропагандирует (идею привлечения женщин к воинской обязанности).
⚠ LIKELY FALSELatvia В Латвии за последний год потратили около миллиарда евро и хвастались, что у них единственная в НАТО акустическая система обнаруже

Verifiable claims requiring fact-check

CHECKPoland в 1929 году в Польшу завезли первых зубров
CHECKPoland после войны часть Беловежской пущи с питомником отошла к Польше
CHECKPoland в июле 1946-го из Польши завезли пять зубров, в 1949-м — еще пять
CHECKSlovakia Премьер-министр Словакии Роберт Фицо призвал воздержаться от резких заявлений об угрозе войны между Евросоюзом и РФ.
CHECKEU Этот инцидент в Румынии, о котором мы в целом ничего не знаем, должен был бы стимулировать максимальные усилия европейских политик
CHECKEstonia Эстония рассматривает возможность введения обязательного военного призыва для женщин к 2040 году.
CHECKLithuania Литва пока обсуждает (введение призыва женщин).

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
Conclusions

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%.

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