New information about how various factors influence YouTube’s video recommendation algorithm is revealed by members of the team responsible for working on it. Having only been implemented in 2016, we ...

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 ...

YouTube’s algorithm rewards behavior-driven engagement over keyword matching. Creators who optimize for clicks, watch time, and retention can boost recommendations and build loyal audiences. Treating ...

Does YouTube create extremists? A recent study caused arguments among scientists by arguing that the algorithms that power the site don’t help radicalize people by recommending ever more extreme ...

YouTube’s 2026 algorithm overhaul is changing how creators grow, focusing on viewer satisfaction, retention quality, and consistent niche authority. Winning now means crafting high-impact openings, ...

"If you randomly follow the algorithm, you probably would consume less radical content using YouTube as you typically do!" So says Manoel Ribeiro, co-author of a new paper on YouTube's recommendation ...

Recommendation algorithms are some of the most powerful machine-learning systems today because of their ability to shape the information we consume. YouTube’s algorithm, especially, has an outsize ...