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 …

Personalized news recommendation methods are widely used in online news services.
These methods usually recommend news based on the matching between news content …

We present a new algorithm for inferring the home locations of Twitter users at different
granularities, such as city, state, or time zone, using the content of their tweets and their …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

Exponential growth of information generated by online social networks demands effective
and scalable recommender systems to give useful results. Traditional techniques become …

This content analysis examined how Twitter is used as a content dissemination tool within
the news industry. Using Gans' conception of news values as a theoretical framework, this …

Inferring topics from the overwhelming amount of short texts becomes a critical but
challenging task for many content analysis tasks. Existing methods such as probabilistic …

The increasing prevalence of social networks provides researchers greater opportunities to
evaluate and assess changes in public opinion and public sentiment towards issues of …

This article investigates how media use of the microblogging tool Twitter affects perceptions
of the issue covered and the credibility of the information. In contrast to prior studies showing …

News recommendation systems? purpose is to tackle the immense amount of news and
offer personalized recommendations to users. A major issue in news recommendation is to …