The governance of recommender systems in very large online platforms is expected to change significantly under the Digital Services Act, which introduces new obligations on transparency and user control; however, compliance-oriented implementations can still leave users with limited ability to steer personalization and manage their exposure. In this work, we analyze how three major short-video …
Day: December 31, 2025
How do users perceive recommender systems’ objectives?
In multi-objective recommender systems, system-side metrics are often used both to optimize and to label user-facing controls, but this practice can misalign with users’ conceptual understanding of objectives, which in turn undermines tuning effectiveness, transparency, and satisfaction. Empirical measurement of perception can enable more interpretable objective controls and more defensible metric choices by explicitly linking …