Project AntiAnti

Decoding Extremism: How Media Literacy Can Counter Online Radicalization

Media & Learning Association - April 23, 2025

Speaker: Serkan Ünsal

Organization: medialepfade.org

As an association for media education, medialepfade.org develops innovative concepts to explore new media pathways of learning and participation.

medialepfade.org

  • Jugend Hackt (Coding for youth)
  • DataSkop (Understanding algorithms)
  • ULAT (Unlearning Anti-feminism on TikTok)
  • Media Competence Center in Berlin, Lichtenberg

Example Projects

Founded: 2018 in Berlin, 2024 in Brandenburg

 

Pedagogical Approaches: Media Education, Political Education, Primary/Universal Prevention

 

Areas of Focus: Extreme Right, Anti-Semitism, Conspiracy Ideology, Anti-Feminism, Disinformation

 

Project Pillars: Workshops for Young People, Training for Educational Professionals

Project AntiAnti

@wirsindantianti

  • Key educational pillars:
    • Media literacy integrated with political education
    • Critical thinking in political contexts
    • Decoding subliminal extremist online-narratives
    • Understanding platform mechanics and business models
    • Building ambiguity tolerance

Our Prevention Framework

  • Media criticism + active media production
  • Creating safe analysis spaces (i.e. by simulating platform interfaces for controlled analysis)
  • Balancing authentic examples with ethical concerns
  • Participatory learning structures

Methodological Approach

Dagstuhl Triangle

Based on the Dagstuhl Triangle for Digital Education (GI, 2016)

  • AfD performance among first-time voters (recent elections)
  • Influence of right-wing actors on TikTok (Tjaden et al. 2024)
  • Online-offline connection: Digital mobilization leading to real-world actions
  • Shifting discourse boundaries: Previously extreme positions becoming normalized

 

Current Challenges in Germany

Platforms we analyze:

  • TikTok (primary focus for recent work)
  • Instagram
  • Messenger services (Telegram)

 

Content types we target:

  • Pseudo-journalistic formats
  • Lifestyle-embedded political messaging
  • Trend-based extremist content
  • Coded language and symbols

 

Focus Platforms and Content Types

Engagement Logic and Platform Mechanics

How this is exploited:

  • Actors deliberately approach but don't cross moderation boundaries
  • Content is designed to maximize emotional responses
  • Platform mechanics are studied and exploited
  • Algorithms favor provocative content that generates reactions
  • Engagement increases as content approaches platform policy boundaries
  • Emotionally charged content gets more views and reactions

Ellison, J., Kao, J., & Merrill, J. (2023). "Using Facebook's Own Data to Understand the Platform's Role in Jan. 6."

The Role of Sounds on TikTok

  • Sounds function as content, meme, and hashtag simultaneously
  • New target groups are reached through strategic sound use
  • Sound creates emotional connection and recognition
  • "Fashwave" and "Tradwave" aesthetics use specific visual styles
  • Glorification of "traditional" lifestyles
  • Pop culture references with extremist political messages subtly introduced

New Right Aesthetics

Historical Revisionism

Pseudo-Journalism

  • Successful formats are copied (e.g. street surveys)

  • Normalization of right-wing ideologies

  • Appearance, speech, and filming locations not associated with right-wing ideology                      

Ex. "Ketzer der Neuzeit"

Specific Online-Strategies

  • Dogwhistling: Using coded language understood by insiders (e.g., "drink milk everyday")
  • Hashtag hijacking: Taking over trending hashtags for ideological purposes ("Stolz"-Monat)
  • Specific emojis as coded signals (🐸, 🥝, ...)
  • Numerical codes (18, 28, 88, ...)

Quelle: https://www.belltower.news/hass-emojis-welche-emojis-sind-bei-nazis-rechtsradikalen-rassistinnen-beliebt-113061/

Hitlergruß:

  • Purpose: Decode implicit anti-feminist messages
  • Target age: 14+ years
  • Duration: 45-60 minutes

Method Showcase:

Anti-Feminism TikTok Puzzle (Prototype)

Method Showcase: Analysis Dimensions

Content domains

Screen as game board

Strategic use of emotions

Rating what drives algorithmic engagement

Analyzing comments and hashtags

Dissecting comments

Identifying common extremist narratives

  • Recognition of cross-domain influence
  • Understanding of engagement-driven amplification
  • Identification of emotional manipulation techniques
  • Patterns across different content types
  • Shift in understanding from "what I like" to "how this is designed to influence me"

Key Insights

Challenges:

  • Growing demand exceeds our resources
  • Increasing polarization in classrooms
  • Digital divides in access and literacy

Looking forward:

  • Further integration into school curricula
  • Building long-term school partnerships
  • Expanded teacher training programs
  • Disseminating  open educational resources

Current Situation and Next Steps

Contact: Serkan Ünsal - serkan.uensal@medialepfade.org

Websites:

Contact & Resources

Thank You

25/04/23 Decoding Extremism: How Media Literacy Can Counter Online Radicalisation

By mediale pfade

25/04/23 Decoding Extremism: How Media Literacy Can Counter Online Radicalisation

  • 2