A new study of online communities suggests that their interaction dynamics can amplify small, local imbalances in opinions, rapidly turning initially mixed-opinion communities into highly-polarized ...

Algorithmic personalisation has become integral to the way news content is selected and delivered to individual users. Through the application of data analytics and machine learning, platforms analyse ...

COLUMBUS, Ohio (WCMH) – A recent study by Ohio State University researchers found that personalized algorithms, which are used by numerous social media platforms, lead to a distorted view of reality ...

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 ...

The X algorithm’s promotion of conservative content may shift the political opinions of those who switch to its “For You” tab after previously using a purely chronological feed, a study published ...