Add Yahoo as a preferred source to see more of our stories on Google. At the first VidCon since 2019, YouTube's top earner in the U.S., MrBeast, got on stage to talk to YouTube's director of discovery ...

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 ...

YouTube in 2026 is a different beast — smarter algorithms, new monetization tools, and shifting viewer habits mean creators have to adapt fast. From homepage redesigns favoring Shorts to AI-powered ...

"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 ...

Your YouTube feed doesn’t have to be a chaotic mix of random videos. With a few smart tweaks, you can train the algorithm to serve you content you actually love. From managing watch history to using ...

When Markiplier’s gaming streams or Emma Chamberlain’s coffee-soaked vlogs show up in your YouTube feed, it’s because these videos are algorithmically anointed. The YouTube algorithm delivers relevant ...

Over the years, the YouTube suggestion algorithm has become pretty complex. I’ve noticed that it can extrapolate my tastes very well based on my watch history, continuously tempting me to consume more ...

Is your YouTube viewership down? You’re not alone. It’s normal for watch patterns to change around this time of year. The company explains why. In a new video from project manager Rachel, who works on ...

YouTube is sharing more details about how its search and recommendation algorithms work in a new video where the company answers questions from users. The YouTube team published a similar video ...

YouTube's algorithm is recommending videos that viewers wish afterwards that they hadn't seen, according to research carried out by Mozilla. And at times, found the report, the algorithm even ...

For years, researchers have suggested that algorithms feeding users content aren’t the cause of online echo chambers, but are more likely due to users actively seeking out content that aligns with ...

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