Are we shaping our feeds or are they shaping us — and is this healthy? Faculty weigh in recommendation algorithms.

Google Discover continually learns from clicks, likes, dismissals, blocks, reading behavior, location, and other user signals ...

For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...

New research suggests that artificial intelligence (AI)-powered algorithms like personalized searches, recommendation systems, and AI-powered curation can make us more isolated and polarized, or ...

In a move that will please some of Instagram’s critics, the company will now allow users to reset the recommendation system that powers what they see in their feeds. “We want to make sure everyone on ...

Abstract Recommendation algorithms have treated reactions such as likes and replies as proxies for user interest, ranking ...

The mechanism by which invisible AI weaves your timelineWhen you open Threads, the text-driven social network operated by Meta, you see not only posts from people you follow, but also a continuous ...

The platform doesn’t provide variety, instead solely basing itself on the assumption that you want to be directed to music ...