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YouTube's Feed Algorithm Evolution: Tips and 2026 History

Source: axios.com

YouTube's Browse feed now personalizes content using viewer watch history clusters for better niche matching.
Shorts hit 200 billion daily views, with a separate algorithm focusing on swipe-through and loop rates.
Creators must label AI-generated content or face reduced recommendations.

YouTube overhauled its recommendation systems in 2026, shifting from broad topics to hyper-personalized feeds based on individual viewing patterns. This matters because it rewards niche creators while sidelining generic videos, reshaping how millions discover content daily.