AI RESEARCH
With a Little Help From My Friends: Collective Manipulation in Risk-Controlling Recommender Systems
arXiv CS.LG
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ArXi:2603.28476v1 Announce Type: cross Recommendation systems have become central gatekeepers of online information, shaping user behaviour across a wide range of activities. In response, users increasingly organize and coordinate to steer algorithmic outcomes toward diverse goals, such as promoting relevant content or limiting harmful material, relying on platform affordances -- such as likes, reviews, or ratings.