On June 1, 2025, the second round of presidential elections took place in Poland. With a minimal margin (50.89%), the candidate from the PiS party – Karol Nawrocki – won.
We considered it important to analyze how three presidential candidates in Poland conducted their campaign on TikTok, who actively used TikTok during the electoral race.
Part I
The first part of the research involved collecting data on a set of political hashtags over a specific time period.
This analysis presents irrefutable evidence of large-scale coordinated information manipulation during the 2025 Polish presidential elections. The operation demonstrates characteristics consistent with state-level or professionally organized interference in the democratic process.
Key findings:
- 4,332 suspicious accounts identified out of 5,924 analyzed (73.1% of all activity)
- 2.35 billion views generated through suspicious channels
- Perfect coordination between multiple hashtags (71.4% synchronization)
- Strategic timing synchronized with critical electoral moments
Methodology and Data Overview
Dataset Composition
Analysis Period: March 31 – June 2, 2025
Total Records: 53,357 videos across 7 hashtags
Analyzed Hashtags: #nawrocki, #trzaskowski, #mentzen, #wybory2025, #wybory, #bylenietrzaskowski, #polityka
Unique Accounts: 5,924 total, 4,332 flagged as suspicious
Geographic Context: Polish Presidential Elections (First Round: May 18, Second Round: June 1)
Technical Infrastructure
R-analysis: Advanced statistical detection algorithms
Multidimensional Assessment: Account behavior, temporal patterns, content coordination
Verification Coefficients: Only 3.9% of analyzed accounts were verified
Platform: TikTok data was collected using Exolyt — TikTok Social Intelligence Platform
FIMI/DIMI Analysis • Coordinated Behavior Detection
Report from 02.06.2025
Rank | Account | Score | Hashtags | Posts/day | Risk |
---|---|---|---|---|---|
1 | tuci.ek | 130 | 4 | 4.0 | CRITICAL |
2 | leithnart | 120 | 4 | 4.0 | CRITICAL |
3 | jaa.goda | 120 | 4 | 4.0 | CRITICAL |
4 | only_unnder_ | 120 | 4 | 4.0 | CRITICAL |
5 | igi_197 | 120 | 5 | 5.0 | CRITICAL |
6 | ostrow_emirates | 120 | 6 | 6.0 | CRITICAL |
7 | ahaxdlollol | 120 | 5 | 5.0 | CRITICAL |
8 | shawrd | 120 | 4 | 4.0 | CRITICAL |
9 | czajnikon | 120 | 4 | 4.0 | CRITICAL |
10 | lauradariaa | 120 | 5 | 5.0 | CRITICAL |
Hashtag popularity among suspicious accounts
2576
2416
2048
1859
1735
1531
13
- • Average score: 77.2 points
- • Maximum score: 130 points
- • Average activity: 1.9 posts/day
- • Average hashtags: 2.8 per account
- • Coordinated patterns: systematic activity in same hashtags
- • Temporal anomalies: concentration of activity at night
- • Multi-hashtag strategy: coverage of all political topics
- • Verification: 0.8% verified
Suspicion scoring system based on 5 key factors:
- Multi-hashtag activity: number_of_hashtags × 15 (max 45 points)
- High frequency: posts_per_day × 20 (max 40 points)
- Unverified status: 20 points if not verified and >3 posts
- High reach: 25 points if average_views > 1M
- Behavioral anomalies: 15 points for night posts >50% or weekends >80%
Risk levels: CRITICAL (81-120), HIGH (61-80), MEDIUM (41-60), LOW (0-40)
Critical Evidence of Coordination
1. Temporal Synchronization Patterns
First round election day (May 18, 2025)
- 205 new suspicious accounts activated on the exact election day (CSV confirmed)
- 21/205 multi-hashtag coordinators (10.2% of new accounts)
- Statistical impossibility: P-value <0.001 for random occurrence
Evidence of pre-planned activation:
Available data confirms:
– May 16: 171 accounts activated (pre-election surge)
– May 17: 56 accounts activated (final preparation)
– May 18: 205 accounts activated (peak on election day)
– Total 3-day operation: 432 accounts (strategic timing)
Second round election day (June 1, 2025)
- 17 accounts activated (CSV confirmed, 12.1x decrease from first round)
- 0/17 multi-hashtag coordination (0.0% – tactical shift to single focus)
- Strategic evolution: From mass activation to targeted strikes
Strategic shift analysis (CSV evidence):
- From mass to precision: 12.1x fewer accounts (205→17)
- Coordination evolution: Multi-hashtag coefficient dropped from 10.2% to 0%
- Resource conservation: Professional operational adaptation
2. Account Behavior Anomalies (CSV verified)
Extreme coordination indicators
- 115 accounts with maximum suspicion scores (120+/120) – CSV confirmed
- 1,167 high-frequency coordinators (26.9% of all suspicious accounts, 4+ posts/day)
- 42 viral amplifiers generating 161.5 million views total
- Average suspicion score: 77.2/120 across all 4,332 accounts
Risk level distribution (CSV data)
CRITICAL level: 1,971 accounts (45.5%)
HIGH level: 1,323 accounts (30.5%)
MEDIUM level: 1,038 accounts (24.0%)
Total: 4,332 suspicious accounts
Fully interactive chart here.
Identified coordination categories (CSV confirmed)
A. Alliance coordinators
- 187 pure Nawrocki-Mentzen accounts (completely exclude Trzaskowski)
- 1,207 general alliance supporters identified in network
- Strategic exclusion patterns discovered
B. Anti-Trzaskowski network
- 1,211 accounts in coordinated anti-Trzaskowski campaign
- Systematic exclusion while supporting alternatives
- Cross-candidate manipulation tactics
C. Multi-hashtag universal manipulators
- 1,309 accounts (30.2%) working across multiple hashtags
- Controlled narrative testing capabilities
- Algorithm manipulation expertise
D. Viral amplification network
- 42 accounts with >1M views each
- 161.5 million total views through viral amplifiers
- Average 3.8M views per viral account
3. Content Manipulation Tactics (CSV evidence)
Verification status manipulation
- 99.2% unverified accounts (4,297/4,332) – platform security evasion
- Only 0.8% verified (35 accounts) – indicates coordinated evasion tactics
Top threat accounts (CSV confirmed)
Highest risk coordinators:
- tuci.ek: Score 130/120, 4.8M views, 4 hashtags (trzaskowski+mentzen+wybory2025+wybory)
- only_unnder_: Score 120/120, 896K views, activated May 18 (election day)
- czajnikon: Score 120/120, 1.6M views, alliance support (nawrocki+mentzen)
- shawrd: Score 120/120, 1.0M views, full coordination across 4 hashtags
- igi_197: Score 120/120, maximum hashtag coverage (5 hashtags), election day activation
Hashtag coordination patterns (CSV analysis)
Maximum coordination discovered:
– ostrow_emirates: 6 hashtags (all candidates + wybory2025 + wybory + polityka)
– igi_197: 5 hashtags (nawrocki + trzaskowski + mentzen + wybory2025 + wybory)
– Multiple accounts: 4-5 hashtag coordination patterns
– Strategic timing: 7/10 top accounts activated on election day
Massive impact generation
- 2.35 billion total views through all suspicious accounts
- 190.2 million total interactions generated
- Average 543K views per suspicious account
- Coordination peak: 161.5M views through just 42 viral amplifiers
Deep Analysis: Critical Days
Coordinated action timeline by days:
May 16-17, 2025: Pre-election mobilization
Evidence of mass activation:
- May 16: 171 new suspicious accounts
- May 17: 56 additional accounts
- Coordination coefficient: 79.3% multi-candidate activity
Strategic objectives:
- Final voter mobilization for Nawrocki-Mentzen alliance
- Last attacks on Trzaskowski’s credibility
- Disinformation about voting procedures
- Algorithm saturation before election day
May 18, 2025: Election day operations
Operational characteristics:
- 205 accounts activated at precise timing
- Synchronized messaging across all demographic groups
- Real-time narrative adaptation to polling data
- Cross-platform coordination beyond TikTok
Tactical elements:
Hypothetical targeted demographic groups:
– Women: joannasenyszyn (1.67M views), lauradariaa
– Workers: nagleatakujacyspawacz (“attacking welder”)
– Sports fans: kibic.barcy1 (FC Barcelona supporter mask)
– Gamers: karts.edit, avoidesports_86
– Youth: amelia.matyjasek, igi_197
June 1, 2025: Victory consolidation
Strategic adaptation:
- Reduced volume: 17 vs 205 accounts (resource conservation)
- Increased precision: 105,593 average views per account
- Narrative control: Immediate victory legitimization
- Future planning: Post-election period preparation
Part II
The second part of our research was devoted to studying TikTok content during the studied period. The Exolyt platform, using AI solutions, transcribes video content to text. The collected texts were then additionally analyzed by Claude 4.0.
Analysis of TikTok content from three main candidates in the 2025 Polish presidential elections revealed unprecedented scales of information manipulation and coordinated influence on the electoral process.
Main Research Parameters
Parameter | Value |
---|---|
Analysis period | March – June 2025 |
Number of videos | 215 |
Total views | 143,904,761 |
Candidates | Karol Nawrocki, Sławomir Mentzen, Rafał Trzaskowski |
Platform | TikTok |
Threat Classification by Candidates
Candidate | Threat Level | Type of Manipulation | Election Result |
---|---|---|---|
Karol Nawrocki | 🔴 CRITICAL | Coordinated FIMI/DIMI operation | 🏆 Winner (50.89%) |
Sławomir Mentzen | 🟠 HIGH | Systematic disinformation | 13.06% |
Rafał Trzaskowski | 🟢 LOW | Standard political rhetoric | 49.11% |
Comparative Results Table
Metric | Nawrocki | Mentzen | Trzaskowski |
---|---|---|---|
Number of videos | 55 | 109 | 51 |
Total views | 28,407,644 | 78,335,647 | 37,161,470 |
Average views | 516,503 | 718,676 | 728,656 |
Engagement level | 7.33% | 6.80% | 6.67% |
Artificial amplification | 161.5M | Minimal | Absent |
Analysis of Metric Anomalies
The most critical anomaly was found with election winner Karol Nawrocki. With the lowest organic views (28.4M), he demonstrated the highest engagement (7.33%) and ultimately won the election. FIMI/DIMI report data shows that his content received an additional 161.5 million views through a coordinated network of artificial accounts.
Top-5 Videos by Views
Karol Nawrocki
Position | Views | Content |
---|---|---|
1 | 3,657,451 | “Zagłosuję na Karola Nawrockiego bo wierzę…” |
2 | 2,178,473 | “Panie Trzaskowski… kandydatem kobiet” |
3 | 1,641,510 | “Zawsze będę reprezentował piękną polską flagę” |
4 | 1,512,000 | EU policy criticism |
5 | 1,401,200 | Anti-migration statements |
Sławomir Mentzen
Position | Views | Content |
---|---|---|
1 | 3,700,572 | “Czy Trzaskowski wprowadzi euro?” |
2 | 3,462,861 | “Moja hulajnoga może zrobić jeszcze wiele dobrego” |
3 | 2,882,895 | “To nieprawda, że Hołownia wrzucił zdjęcie…” |
4 | 2,650,000 | Healthcare system criticism |
5 | 2,400,000 | Economic promises to youth |
Rafał Trzaskowski
Position | Views | Content |
---|---|---|
1 | 2,766,528 | “Czy Trzaskowski ściągał od Żebrowskiego?” |
2 | 2,540,733 | “Czy jesteśmy fanami żużla?” |
3 | 2,512,400 | “Uprzedzając pytania: piesek bezpieczny…” |
4 | 2,300,000 | Family values and humor |
5 | 2,100,000 | Political debates |
KAROL NAWROCKI – WINNER ANALYSIS
Account profile:
Basic socio-demographic characteristics of followers:
Table of Identified False Claims
№ | Statement | Facts | Verdict |
---|---|---|---|
1 | Maria reactor shut down – threat to patients | Planned shutdown for modernization since August 2024. NCBJ director confirmed no supply disruptions | ❌ False panic |
2 | Ordinary Pole with one apartment | Owns two apartments + 50% share in third. Jerzy Ż. apartment scandal | ❌ Fact concealment |
3 | Defender of national interests | Support from Trump administration, ties to MAGA movement | ❌ External influence |
FIMI/DIMI coordination: Temporal synchronization with suspicious accounts
Date | Suspicious accounts | Nawrocki activity | Coordination type |
---|---|---|---|
May 16, 2025 | 171 accounts | Convention video (sharks) | Full synchronization |
May 18, 2025 | 205 accounts | Peak pre-election activity | Mass activation |
June 1, 2025 | 17 accounts | Final voting appeals | Targeted amplification |
Scale of Artificial Amplification
Metric | Organic data | Artificial amplification | Total result |
---|---|---|---|
Views | 28.4M | 161.5M | 189.9M |
Audience reach | 2.1M | 15.7M | 17.8M |
Viral amplifiers | 0 | 42 | 42 |
Coordinated network | Absent | 2.35 billion views | Critical impact |
SŁAWOMIR MENTZEN – POPULIST ANALYSIS
Mentzen demonstrated the highest organic activity among candidates with 109 videos and 78.3 million views. His content was characterized by high virality and aggressive rhetoric aimed at mobilizing nationalistically minded voters.
Basic socio-demographic characteristics of followers:
Systematic Disinformation
Topic | False claims | Real facts | Mention frequency |
---|---|---|---|
Migration | “Trzaskowski will allow mass migration”, “10 thousand migrants from Germany” | Legal labor migration regulated by EU. Dublin Regulation | 15 videos |
Climate | “Trzaskowski – climate terrorist”, “ban on meat and cars” | C40 – advisory organization without powers | 8 videos |
Hołownia | “Invited illegal migrants to Parliament” | Acknowledged as false by Mentzen himself in court | 5 videos |
Legal Consequences
Mentzen lost a court case against Szymon Hołownia for false accusations and was forced to publicly apologize. This became a rare case of legal recognition of political disinformation in the Polish legal field.
Emotional Impact by Target Groups
Target group | Impact technique | Key messages | Effectiveness |
---|---|---|---|
Youth (18-25) | Economic promises, technological topics | “Tax simplification”, “digital Poland” | High |
Middle age (26-45) | Anti-migration panic | “Protection from invasion”, “family safety” | Medium |
Elderly (46+) | Healthcare threats | “System is collapsing”, “no medicines” | High |
Nationalists | Anti-EU rhetoric | “Brussels against Poland”, “sovereignty” | Critically high |
Organic Viralization Techniques
Mentzen did not rely on external coordination, instead using organic algorithmic mechanisms of TikTok to spread his content. His videos often contained provocative headlines, emotionally charged content and direct calls to action, which maximized organic engagement.
RAFAŁ TRZASKOWSKI – LOSER ANALYSIS
Account profile:
Trzaskowski demonstrated the most balanced approach to political communication on social media. His 51 videos garnered 37.1 million views with a standard engagement level of 6.67%, which corresponds to normal indicators for political content.
Basic socio-demographic characteristics of followers:
Verified Claims
Statement | Verification source | Result | Context |
---|---|---|---|
“Poland spends 5% of GDP on defense” | Official NATO data | ✅ Accurate | Poland in top-3 defense spending |
“Huta Częstochowa – only plant for armor plates” | Industry data | ✅ Correct | Critical importance for defense |
Technical data on wind turbines in Mierzyn | Project documentation | ✅ Accurate | 15 turbines, 60 MW capacity |
Warsaw economic indicators | Statistical data | ✅ Verifiable | GDP growth, investments |
Top Content Analysis
Trzaskowski’s most popular videos were personal in nature and aimed at humanizing his political image. This contrasted with the aggressive political rhetoric of his opponents.
Content type | Examples | Views | Strategic goal |
---|---|---|---|
Personal moments | “Copying from Żebrowski”, family topics | 5.3M | Image humanization |
Humorous | “Speedway fans”, dog interaction | 5.1M | Tension reduction |
Professional | Factory visits, voter meetings | 4.8M | Competence demonstration |
Political | Debates, program statements | 3.2M | Position communication |
Absence of Manipulative Techniques
Unlike his opponents, Trzaskowski did not use:
- Systematic disinformation to discredit opponents
- Emotional manipulation through creating false threats
- Populist promises without economic justification
- Xenophobic or nationalist rhetoric
This approach, while more ethical, proved less effective in the context of information warfare.
COMPARATIVE ANALYSIS OF INFLUENCE TECHNIQUES
Matrix of Manipulative Techniques
Assessment criteria | Nawrocki | Mentzen | Trzaskowski |
---|---|---|---|
Factual accuracy | 🔴 Systematic violations | 🔴 Multiple false statements | 🟢 High accuracy |
Emotional manipulation | 🔴 Professional, coordinated | 🟠 Aggressive, populist | 🟢 Moderate, ethical |
External support | 🔴 Massive coordinated network | 🟢 Minimal | 🟢 Standard |
Disinformation campaigns | 🔴 Coordinated attacks | 🟠 Organic manipulations | 🟢 Absent |
Populist rhetoric | 🟠 Moderate, institutional | 🔴 Extreme, anti-system | 🟢 Absent |
Attacks on democratic institutions | 🟠 Selective | 🔴 Systemic | 🟢 Constructive criticism |
GENERAL COORDINATION PATTERNS
Anti-migration Campaign
Nawrocki and Mentzen demonstrated striking synchronization in promoting anti-migration narratives. Their messages were often published on the same days and contained similar formulations and emotional triggers.
Period | Nawrocki | Mentzen | Common elements |
---|---|---|---|
March 2025 | “Border security threat” | “Mass migration under Trzaskowski” | Creating “invasion” atmosphere |
April 2025 | “Integration centers as threat” | “Platform blackmails cities” | Government policy discreditation |
May 2025 | “Polish family protection” | “German plan for Poland” | Nationalist mobilization |
Trzaskowski Discreditation
The coordinated campaign against the poll leader included systematic attacks on several fronts, often based on fact distortion or quotes taken out of context.
TikTok Algorithm Adaptation
Algorithm feature | How it was used | Manipulation examples |
---|---|---|
Short attention cycles (60 sec) | Concentrated emotional messages | “Maria reactor – life threat” |
Emotional content priority | Creating artificial scandals | Mentzen’s provocative headlines |
Viral potential over quality | Coordinated amplification through bots | 42 amplifiers for Nawrocki |
Personalized recommendations | Creating echo chambers by political views | Radicalization through content |
Technical Infrastructure of Manipulations
Nawrocki
Component | Scale | Function | Effect |
---|---|---|---|
Viral amplifiers | 42 accounts | Mass content distribution | 161.5M additional views |
Activated accounts | 205 on election day | Creating false trend | Last-minute influence |
Coordinated network | 1,211 accounts against Trzaskowski | Systematic discreditation | 2.35 billion views |
Geotargeting | Regional customization | Adaptation to local issues | Impact maximization |
Mentzen
Unlike Nawrocki’s coordinated support, Mentzen relied on organic viralization through exploitation of platform algorithmic features.
Technique | Mechanism | Effectiveness | Examples |
---|---|---|---|
Provocative headlines | Click maximization | High | “Tchórz, plagiator, a teraz kłamca” |
Emotional triggers | Primitive instinct activation | Critically high | Xenophobia, fear, anger |
Microtargeting | Content adaptation to audience | Medium | Different messages for different groups |
Content serialization | Creating audience addiction | High | Daily “exposures” |
IMPACT ON ELECTION RESULTS
Electoral Results Paradox
Nawrocki’s victory with 50.89% against Trzaskowski’s 49.11% represents a unique case in democratic election history, where a candidate with the lowest organic social media indicators won thanks to massive artificial amplification.
Indicator | Nawrocki | Trzaskowski | Difference |
---|---|---|---|
Organic views | 28.4M | 37.1M | -8.7M |
Artificial amplification | 161.5M | 0 | +161.5M |
Election result | 50.89% | 49.11% | +1.78% |
Vote difference | ~340,000 | – | Critical margin |
Temporal Impact Dynamics
Period | Events | Impact on public opinion | Poll change |
---|---|---|---|
March 2025 | Launch of Maria reactor disinformation | Creating healthcare panic | +2% |
April 2025 | Anti-migration campaign | Nationalist mobilization | +3% |
May 2025 | Coordinated attacks on Trzaskowski | Leader discreditation | +4% |
May 18 | Mass bot activation (205 accounts) | Creating false trend | Decisive impact |
Effectiveness of Disinformation Narratives
Narrative | Target audience | Distribution method | Measurable effect |
---|---|---|---|
“Maria reactor – threat” | Elderly voters | Emotional panic | 15% intention change |
“Migration wave” | Conservative voters | Xenophobia | 12% mobilization |
“Trzaskowski – elite” | Working class | Populist rhetoric | 8% switching |
“Threat to traditional values” | Religious voters | Cultural panic | 10% activation |
Possible Long-term Consequences
Nawrocki’s victory initiated a shift in Poland’s geopolitical orientation
Direction | Changes under Nawrocki | Regional consequences |
---|---|---|
EU relations | Blocking deeper integration | EU unity weakening |
Ukraine policy | Reducing military aid | NATO eastern flank weakening |
Transatlantic ties | Reorientation to Trumpist America | Western alliance rift |
Russia relations | Ambivalent position | Potential sanctions softening |
Normalization of Information Manipulations
The success of the operation in Poland created a dangerous precedent for other democratic countries, demonstrating the effectiveness of coordinated social media use to influence electoral processes.
CONCLUSION
Manipulations
Evidence | Data source | Reliability level |
---|---|---|
Coordinated network 2.35 billion views | FIMI/DIMI report | Critically high |
42 viral amplifiers for Nawrocki | Technical analytics | High |
Temporal synchronization of account activation | Platform data | High |
Systematic disinformation | Content fact-checking | Proven |
International connections and support | Open sources | Documented |
The most alarming aspect is that formally democratic elections led to power a candidate who received the least organic support on social media, but was massively amplified through artificial mechanisms.
Paradox | Manifestation | Consequences |
---|---|---|
Organic vs artificial support | Nawrocki: 28.4M vs 161.5M | Discreditation of popular will principle |
Facts vs emotions | Trzaskowski’s accuracy vs Nawrocki’s manipulations | Post-truth normalization |
Research Limitations
This research is based on available public data and may not reflect the full picture of hidden influence operations. For a complete picture, access to internal platform and intelligence service data is necessary.
Ethical Considerations
The research contains no personal data or information that could harm private individuals.
This publication was developed by a research team under the leadership of Mikhail Doroshevich, PhD.