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

Our new CHI paper raises two connected ideas: (1) we can’t—and shouldn’t expect to—agree on all accounts of harm, which makes universal moderation inherently limited; and (2) instead of suppressing the content that harms a given user, we can transform it in a personalized way to preserve its value.

Rayhan Rashed@rayhan.io · 6mo ago

What if moderation didn’t mean suppression for the user? #CHI2026 For the past year, my advisor @farnazj.bsky.social and I have been exploring a frustration: content moderation is centralized and binary, even though harm is often subjective.

Our new article in @science.org enables social media reranking outside of platforms' walled gardens. We add an LLM-powered reranking of highly polarizing political content into N=1256 participants' feeds. Downranking cools tensions with the opposite party—but upranking inflames them.

📣 Yale workshop, Oct 16-17! 📣 How could/should content ranking work? What's new in content moderation? How can platforms promote civility? Hosted by Yale's Institute for Foundations of Data Science (FDS). Great speakers! Submit posters by 9/22! Spread the word! yalefds.swoogo.com/socialalgori...

New Directions in Social Algorithms Research on October 16-17, 2025 at Yale University

As social media algorithms increasingly mediate social experiences, there has been a rapid increase in research on the effects of how these algorithms are configured, alternatives to engagement-centri...

yalefds.swoogo.com

📢📢I'm recruiting PhD students for Fall 2025 to join my research lab at the University of Michigan! Interested in doing research in social computing systems? Consider applying! 📢📢 Application deadline: Dec 15 cse.engin.umich.edu/academics/gr...

New paper: Do social media algorithms shape affective polarization? We ran a field experiment on X/Twitter (N=1,256) using LLMs to rerank content in real-time, adjusting exposure to polarizing posts. Result: Algorithmic ranking impacts feelings toward the political outgroup! 🧵⬇️

My work was featured in the MIT News today! Read more on empowering users to assess the accuracy of content and see assessments from their trusted sources everywhere on the web: news.mit.edu/2024/new-too...

New tool empowers users to fight online misinformation

In an effort to decentralize the fight against online misinformation, MIT researchers developed the Trustnet browser extension, which empowers individuals to assess the accuracy of any content on any ...

news.mit.edu

🚨 Paper alert!🚨 We show how enabling users to moderate misinformation can be deployed everywhere on the web, in a platform-agnostic manner and without support from the social platforms or individual web sites arxiv.org/pdf/2403.114... #CHI24 With @karger.bsky.social 🧵