dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Dunajcsik, Maxigas | |
dc.contributor.author | Volmer, Steffi | |
dc.date.accessioned | 2025-06-11T23:04:00Z | |
dc.date.available | 2025-06-11T23:04:00Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/49025 | |
dc.description.abstract | This thesis explores how AfD supporters use TikTok to circulate far-right narratives ahead of the 2025 Bundestag elections. I show how a decentralized network of mostly anonymous users takes advantage of TikTok’s features—like remixing, hashtags, and emotional edits—to reframe political content in ways that resonate with younger audiences. Using digital methods and a mixed-methods approach, I analyze how these users co-create meaning through symbolic visuals, platform-native aesthetics, and affective strategies. Rather than relying on traditional disinformation, the content often spreads through subtle cues and emotional appeal. My findings highlight how participatory practices and platform design shape political communication—and why moderation efforts need to look beyond hashtags and official accounts. | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | This thesis explores how supporters of the far-right AfD use TikTok’s platform-specific features to spread emotionally resonant political content. Through digital methods, it reveals how decentralized user networks employ symbolic aesthetics and remix tactics to amplify AfD narratives, bypass moderation, and shape youth engagement ahead of Germany’s 2025 elections. The study urges rethinking platform governance and media literacy. | |
dc.title | Post, Remix, Repeat: Affordances and Populist Tactics in AfD TikTok Networks (Volmer 7422032) | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | AfD
TikTok
Far-right narratives
Social media affordances
Participatory culture
Political communication
Digital methods
Youth political expression
Platform governance
Computational analysis | |
dc.subject.courseuu | New Media and Digital Culture | |
dc.thesis.id | 46249 | |