One of the most-viewed PNAS articles in the last week is “Value misalignment in X’s feed algorithm is a reflection of value tensions in engagement.” Explore the article here: https://ow.ly/V1Mg50ZFWnP For more trending articles, visit https://ow.ly/XjLl50ZFWnO.

📰 Our piece with @ziv-e.bsky.social and @mbernst.bsky.social in The Conversation today. Feed algorithms optimize for engagement behavior because it is easy to measure. The result is that the values amplified in people's feeds are misaligned with what they value. theconversation.com/why-social-m...

Why social media algorithms send you posts you don’t like

Algorithms on X tend to bring you posts that contradict your values, and it happens more to Democrats than Republicans.

theconversation.com

“This highlights a core tension..of social media: frictions between users’ stated preferences and their behaviors..are exploited by engagement-maximizing algorithms to create runaway feedback loops of increasing value misalignment” Thanks @404ink.bsky.social @mjgault.bsky.social for the discussion!

Jason Koebler@jasonkoebler.bsky.social · 3mo ago

“X’s algorithm learns what you hate and shows you more of it, according to a new study just published in the Proceedings of the National Academy of Sciences” www.404media.co/xs-algorithm...

Do our social media algorithms correctly reflect our values? Our new article published today in @pnas.org shows that the answer is often not, and that the content that gets promoted into their ranked feeds is often actively counter to our values.

Pleased to share our new paper forthcoming in @icwsm.bsky.social! We introduce a novel framework to measure value expressions in social media posts at scale, leveraging personalization to handle the inherent subjectivity of human values. arxiv.org/abs/2511.08453