More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …

A large body of research work and efforts have been focused on detecting fake news and
building online fact-check systems in order to debunk fake news as soon as possible …

The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …

LinkedIn dynamically delivers update activities from a user's interpersonal network to more
than 300 million members in the personalized feed that ranks activities according their" …

Users on an online social network site generate a large number of heterogeneous activities,
ranging from connecting with other users, to sharing content, to updating their profiles. The …

Analyzing learning traces is presently highly required in e‐learning environment. Several
communities have been developed to address this need, such as those of Learning …

The social web has brought about many new types of recommender systems. One of the
most important is recommendation of people, which bears many unique characteristics and …

Social media has become ubiquitous. Tweets and other user-generated content have
become so abundant that better tools for information organization are needed in order to …

Online communities within the enterprise offer their leaders an easy and accessible way to
attract, engage, and influence others. Our research studies the recommendation of social …

Nowadays, we are experiencing a huge growth in the available information, caused by the
advent of communication technology, which humans cannot handle by themselves …