AI-driven recommendation algorithms on streaming platforms often limit content diversity by continuously suggesting similar genres based on user history, potentially shaping viewers' tastes ...

An investigation by the Wall Street Journal and academics has found that Instagram’s recommendation algorithms actively promote accounts selling and commissioning child sexual abuse material.

For recommendation algorithms to examine these relationships, they need a lot of data. Therefore many providers, such as Netflix, Amazon and Spotify, ask users to rate content.

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 ...

Hitting Dislike, the most visible way to provide negative feedback, stops only 12% of bad recommendations; Not interested stops just 11%. YouTube advertises both options as ways to tune its algorithm.

The online systems that make recommendations to us often rely on their digital footprint — our clicks, views, purchases, and other digital footprints — to infer our preferences. But this means ...

Recommendation algorithms, for example, help people make choices they feel happy about. But even if the user is recommended the three best types of running shoes, it does not necessarily mean that ...