Study reveals why algorithms misalign: users engage more with misaligned content

msbernst · x · 2026-08-21

A paper finds that while followed posts are value-aligned, "For You" recommendations are often misaligned. Explanation: users are especially likely to reply to value-misaligned content, which the algorithm misinterprets as positive engagement.

Related event: PNAS study finds X's recommendation algorithm systematically boosts content misaligned with user values(5 posts)→

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