The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …

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 …

An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …

Online publishing, social networks, and web search have dramatically lowered the costs of
producing, distributing, and discovering news articles. Some scholars argue that such …

Non-profits, as well as the media, have hypothesized the existence of a radicalization
pipeline on YouTube, claiming that users systematically progress towards more extreme …

If popular online platforms systematically expose their users to partisan and unreliable news,
they could potentially contribute to societal issues such as rising political polarization,. This …

Algorithms are ubiquitous and critical sources of information online, increasingly acting as
gatekeepers for users accessing or sharing information about virtually any topic, including …

Every day automated algorithms make decisions that can amplify the power of businesses
and governments. Yet as algorithms come to regulate more aspects of our lives, the contours …

In offering personalized content geared toward users' individual interests, recommender
systems are assumed to reduce news diversity and thus lead to partial information blindness …

Some fear that personalised communication can lead to information cocoons or filter
bubbles. For instance, a personalised news website could give more prominence to …