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.)
I would definitely not want chronological order. I think people tend to forget how shit those are and how much low quality content there is, especially the bigger communities get. Try it right now on Lemmy or Reddit. I find the Active and Hot sorting on Lemmy pretty good, and those are not designed as algorithmical heroine.
Sure! We can do chronological, most liked, most disliked, most comments. Solid metrics though, nothing that the social media companies can obscure