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20242026
most citedReranking partisan animosity in algorithmic social media feeds alters affective polarization

25 citations · 46 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.SI2026★ 1 cited

The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement

Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev +41

We report the first direct comparisons of multiple alternative social media algorithms on multiple platforms on outcomes of societal interest. We used a browser extension to modify…

cs.SI2026

Grok in the Wild: Characterizing the Roles and Uses of Large Language Models on Social Media

Katelyn Xiaoying Mei, Robert Wolfe, Nicholas Weber +1

xAI's large language model, Grok, is called by millions of people each week on the social media platform X. Prior work characterizing how large language models are used has focused…

cs.SI2025★ 18 cited

Community notes reduce engagement with and diffusion of false information online

Isaac Slaughter, Axel Peytavin, Johan Ugander +1

Social networks scaffold the diffusion of information on social media. Much attention has been given to the spread of true vs. false content on online social platforms, including t…

cs.SI2024

Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking

Soham De, Michiel A. Bakker, Jay Baxter +1

X's Community Notes, a crowd-sourced fact-checking system, allows users to annotate potentially misleading posts. Notes rated as helpful by a diverse set of users are prominently d…

cs.SI2024

Reranking Social Media Feeds: A Practical Guide for Field Experiments

Tiziano Piccardi, Martin Saveski, Chenyan Jia +3

Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in particular, on feed algorithms is becoming increasin…