Media bias, ie, slanted news coverage, can strongly impact the public perception of the
reported topics. In the social sciences, research over the past decades has developed …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

Personality is a combination of all the attributes—behavioral, temperamental, emotional, and
mental—that characterizes a unique individual. Ability to identify personalities of people has …

We can often detect from a person's utterances whether he or she is in favor of or against a
given target entity—one's stance toward the target. However, a person may express the …

Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

Politicians and citizens increasingly engage in political conversations on social media
outlets such as Twitter. In this article, I show that the structure of the social networks in which …

Search systems in online social media sites are frequently used to find information about
ongoing events and people. For topics with multiple competing perspectives, such as …

Social media is playing a growing role in elections world-wide. Thus, automatically
analyzing electoral tweets has applications in understanding how public sentiment is …

Electoral prediction from Twitter data is an appealing research topic. It seems relatively
straightforward and the prevailing view is overly optimistic. This is problematic because …

Numerous papers have reported great success at inferring the political orientation of Twitter
users. This paper has some unfortunate news to deliver: while past work has been sound …