YouTube's algorithm crashed for 2 hours, leaving 320,000 users with blank screens during prime viewing time across all platforms including mobile and TV.

Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...

YouTube's recommendation algorithm focuses on individual videos, not channel averages. YouTube aims to show videos that align with your interests and preferences. The algorithm doesn't punish channels ...

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 ...