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2 clusters · 7 sources · 4 days · First seen · Last updated

X algorithm engagement and user value study

Overview

Research published in the Proceedings of the National Academy of Sciences (PNAS) indicates that the X recommendation algorithm prioritizes content that contradicts the personal values of its users. By analyzing the feeds of 715 U.S.-based users, researchers from institutions including MIT and Stanford University identified a negative correlation between user values and the content amplified by the ‘For You’ feed.

The study suggests the algorithm is optimized for engagement, interpreting replies and interactions with opposing viewpoints as high-value signals. This creates a feedback loop where provocative or ‘ragebait’ content is promoted to drive interaction, even when it clashes with a user's genuine preferences. While the effect was noted across political spectrums, researchers observed it was more pronounced among Democratic users.

Specific observations included the promotion of content regarding social rules and tradition, while content related to nature or caring for others was frequently demoted.

Entities

Stanford University · Ziv Epstein · Massachusetts Institute of Technology · Michael S. Bernstein · PNAS

Timeline

  1. 5 days ago

    [TECHNOLOGY] 2 sources
    X algorithm amplifies content contradicting user values, study finds

    A study by MIT and Stanford researchers found that X’s “For You” algorithm amplifies content that contradicts user values by misinterpreting negative engagement and outrage as genuine interest.

  2. 9 days ago

    [TECHNOLOGY] 5 sources
    X algorithm prioritizes content that provokes anger, study finds

    A study in PNAS shows X's algorithm prioritizes content that provokes anger to drive engagement, often serving users posts that clash with their personal values, particularly among Democrats.

Sources

24matins.fr · diarioroatan.com · eveningreport.nz · internet.watch.impress.co.jp · ithome.com · macaudailytimes.com.mo · noticiasdehoy.com.mx