Recommendation algorithms operated by social media giants TikTok and X have shown evidence of substantial far-right political bias in Germany ahead of a federal election that takes place Sunday, according to new research carried out by Global Witness.
The non-government organization (NGO) undertook an analysis of social media content displayed to new users via algorithmically sorted “For You” feeds — finding both platforms skewed heavily toward amplifying content that favors the far-right AfD party in algorithmically programmed feeds.
Global Witness’ tests identified the most extreme bias on TikTok, where 78% of the political content that was algorithmically recommended to its test accounts, and came from accounts the test users did not follow, was supportive of the AfD party. (It notes this figure far exceeds the level of support the party is achieving in current polling, where it attracts backing from around 20% of German voters.)
We need to constaly audit algorithmic timelines. There cannot be “trade secrets” here.
It’s not like code auditing is some magic were not capable of - its a multi billion industry perfectly capable of managing this task and we have all of the existing tools and frameworks for it.