Global Witness: ahead of German elections, TikTok's and X's For You feeds showed a substantial far-right bias; 78% of TikTok's recommendations supported the AfD
Recommendation algorithms operated by social media giants TikTok and X have shown evidence of substantial far-right political bias …
Context & Ripple Effects
The finding extends a documented German-platform arc: earlier analysis found the AfD disproportionately represented in Facebook political sharing, while later reporting identified extremist TikTok accounts openly distributing Hitler-related propaganda.
It matters because election-risk coverage has increasingly focused on distribution systems, not just individual posts. TikTok had already faced scrutiny over its ability to contain election misinformation, and political-content supply is becoming harder to assess amid AI-generated videos featuring politicians.
First-order effects
- TikTok and X face immediate scrutiny of how their For You ranking systems distribute political material ahead of an election; TikTok's position that 14 implicated accounts did not break its rules highlights the gap between rule enforcement and recommendation outcomes.
- The report puts exposure generated by feed ranking—not simply the presence of far-right accounts—at the center of the platforms' election-integrity response.
Second-order effects
- Watchdogs and competing platforms will have greater incentive to test recommendation results directly, rather than treating account removals or policy compliance as sufficient evidence of election safeguards.
- The combination of politically salient AI-generated content and opaque ranking makes it harder for platforms to separate a skewed feed caused by available supply from one intensified by recommendation choices.
Third-order effects
- If similar findings recur, election safeguards may need to address recommender-system amplification alongside account-level moderation.
- Platform accountability could increasingly be judged by measured distributional outcomes in political feeds rather than takedown totals alone, though this report is one investigation rather than a complete measure of user exposure.
The trend: Election-integrity scrutiny is shifting from whether platforms host harmful political content to how their recommendation systems allocate attention to it.