"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 ...

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.

Warning: This episode contains references to guns and gun violence. YouTube’s recommendation algorithm has always been key to keeping users on the site. Watch a cute cat video, and the platform spews ...

Why it matters: YouTube’s algorithm heavily influences what you watch next, so curating it can keep your feed relevant and engaging. Key control tools: Likes, dislikes, subscriptions, and the ...

Democratic users were 7.5 percent more likely to get GOP-backed content than videos matching their own political views.

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 ...

Streaming platforms like Netflix, YouTube, and Crunchyroll are under growing scrutiny for how their recommendation algorithms shape viewing habits. Academic research shows these systems can create ...

The Irish investigation will look into concerns over deceptive design on Meta’s platforms, including suspicions the company ...

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 ...