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.)

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  • Siegfried@lemmy.world
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    19 hours ago

    Limiting it’s size sounds like a really good approach imo. Something as simple as a user cap or having to be “accepted manually” like in Lemmy would help to contain the attacks i’m thinking of. They can always still infiltrate, and do their shit, but doing so in thousands of different plataforms would be both impractical and expensive.