Whether we’re using Spotify, Amazon, Netflix or Instagram, we encounter algorithms that recommend content or products to us every day. In 2017 Netflix stated that its users discover around 80 percent ...

Threads is testing a new way for users to manipulate their own recommendation algorithm.

Spotify's Prompted Playlist will let users write a prompt that defines how the streaming service builds a playlist of ...

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 ...

In a move that will please some of Instagram’s critics, the company will now allow users to reset the recommendation system that powers what they see in their feeds. “We want to make sure everyone on ...

Threads is about to turn a quiet user habit into a formal product feature, inviting people to talk directly to the ...

Tension: We’ve outsourced our moral development to recommendation engines that optimize for engagement rather than wisdom, ...

YouTube’s recommendation algorithm drives more than 70% of the videos we watch on the site. But its suggestions have attracted criticism from across the spectrum. Mine, of course, suggests videos on ...

YouTube’s recommendations algorithm can lead you down some very weird rabbit holes, suggesting videos that feel weirdly personal and off-target at the same time ...