Recommender systems can strongly influence which information we see online, eg, on
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …

Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

Existing public face image datasets are strongly biased toward Caucasian faces, and other
races (eg, Latino) are significantly underrepresented. The models trained from such datasets …

In recent years, there has been a great deal of concern about the proliferation of false and
misleading news on social media,,–. Academics and practitioners alike have asked why …

A prominent approach to combating online misinformation is to debunk false content. Here
we investigate downstream consequences of social corrections on users' subsequent …

N= 2775) and an experiment on Twitter in which we messaged N= 5,482 users who had
previously shared news from misleading websites, we find that subtly inducing people to …

As Internet users increasingly rely on social media sites like Facebook and Twitter to receive
news, they are faced with a bewildering number of news media choices. For example …

Artificial intelligence (AI) and related technologies are transforming many consumption
activities, powering breakthroughs that expand the human experience by enhancing human …

Publicly available social media archives facilitate research in the social sciences and
provide corpora for training and testing a wide range of machine learning and natural …

The moderation of content in many social media systems, such as Twitter and Facebook,
motivated the emergence of a new social network system that promotes free speech, named …