A team of researchers from Graz University of Technology, Know-Center GmbH, Johannes Kepler University Linz, University of Innsbruck, Austria and University of Utrecht, the Netherlands, compared how ...

"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 ...

YouTube is now the biggest music discovery engine, and understanding its algorithm can transform your reach. From playlists to watch time strategies, artists who work with the system—not against ...

These days, more and more people listen to music on streaming apps – in early 2020, 400 million people were subscribed to one. These platforms use algorithms to recommend music based on listening ...

YouTube is the world’s largest music discovery platform, but its music recommendation system operates differently from its main video feed. For independent artists, learning these differences is ...