"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 ...

Recommender systems are machine learning applications in online platforms that automate tasks historically done by people. In the news industry, recommender algorithms can assume the tasks of editors ...

Escape the annoying browsing loop.

Instagram has expanded its algorithm personalization features to its main feed.

Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.

Thanks to algorithms, social media platforms can generate content that feels like it's made just for you. And while you may acknowledge that technology is what delivers the content, you may sometimes ...

Whether on the web or the app, the home page of The New York Times is a crucial gateway, setting the stage for readers’ experiences and guiding them to the most important news of the day. The Times ...

Posts from this topic will be added to your daily email digest and your homepage feed. The author of Filterworld: How Algorithms Flattened Culture discusses how we might be able to cultivate our own ...

Nearly a year after Elon Musk first floated the idea of making Twitter's recommendation algorithm public, the company has posted the source code for its recommendation algorithm on GitHub. In a ...

The featire available across Reels, Explore and Feed shows users the topics the platform believes interest them most, and ...

There's a hidden corner of TikTok the algorithm won't show you, full of weird, creepy and downright disturbing videos. Is it ...