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 ...

If Nielsen stats are to be believed, we collectively spend more time in front of YouTube than any other streaming service—including Disney+ and Netflix. That's a lot of watch hours, especially for an ...

Instead of counting the number of clicks or views a video gets, YouTube’s algorithms focus on ensuring viewers are happy with what they watch. This article examines how YouTube’s algorithms work to ...

"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 ...

New research from Mozilla shows that user controls have little effect on which videos YouTube’s influential AI recommends. YouTube’s recommendation algorithm drives 70% of what people watch on the ...

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...

A new study conducted by the Computational Social Science Lab (CSSLab) at the University of Pennsylvania sheds light on a pressing question: Does YouTube's algorithm radicalize young Americans?

To battle false information, YouTube cut its recommendations to fringe channels and instead promoted major networks, especially Fox News. By Jack Nicas After the 2016 election, engineers at YouTube ...