Skip to content
Submit incident
AII-1002-68429
Well documentedThree or more independent publishers report the core facts.

TikTok and X algorithms showed far-right bias in Germany ahead of 2025 federal election

Research by Global Witness found that TikTok, X, and Instagram's recommendation algorithms showed substantial bias toward far-right political content in Germany ahead of the February 23, 2025 federal election, with TikTok's feed recommending far-right AfD party content at rates far exceeding the party's actual polling support.

19 February 2025 Β· TikTok Β· Discrimination and fairness
19 February 2025
AII-1002-684293 sources ↓
Quick facts
Category
Discrimination and fairness
Country
Germany
Source
TechCrunch
Date
19 February 2025
Drafted by
Raidu Incident Detection

What happened

Global Witness, a non-governmental organization, analyzed algorithmically sorted 'For You' feeds on TikTok, X, and Instagram to test for political bias ahead of Germany's federal election on February 23, 2025. Test accounts were set up to follow the four biggest German political parties equally, presenting as non-partisan users interested in political content.

TikTok's 'For You' feed showed 78% of recommended political content from unfollowed accounts supporting the far-right AfD party, while X showed 64% such support and Instagram showed 59%. On general left versus right-leaning bias, TikTok displayed right-leaning content 74% of the time, X showed 72%, and Instagram showed 59%.

Reported impact

The AfD party attracted approximately 20% support in polling, while receiving 78% of TikTok's algorithmic recommendations and 64% of X's recommendations. Non-partisan social media users in Germany were being exposed to right-leaning content more than twice as much as left-leaning content ahead of the federal election.

Index analysis

Global Witness noted a lack of transparency in how these algorithms work. Ellen Judson, a senior campaigner at Global Witness, suggested the bias might be an unintended side effect of algorithms maximizing engagement, though the right-wing skew across multiple platforms raises questions about whether additional factors were at play.

Classification

Category
Discrimination and fairness
Industry
Media, social platforms and marketing
Country
Germany
Harm status
Potential harm
Intent
Unknown
Timing
Post-deployment
Harm types
Public interest
Harmed
General public
Failure modes
Biased model
Consequences
None recorded
AI systems
TikTok 'For You' recommendation algorithm, X 'For You' recommendation algorithm, Instagram 'For You' recommendation algorithm

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

TechCrunch
Study of TikTok, X 'For You' feeds in Germany finds Far Right political bias ahead of federal elections | TechCrunch
19 February 2025
Nieman Lab
In Germany, social media algorithms are pumping out huge amounts of far-right, pro-AfD content
20 February 2025
TechIssuesToday.com
Social media algorithms promote more right-leaning content than left, recent research studies say
21 February 2025