To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

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 …

Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings,
and actions at a resolution previously unimaginable. Because user behavior on SM is a …

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 …

Previous research has demonstrated that various properties of infectious diseases can be
inferred from online search behaviour. In this work we use time series of online search query …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

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 …

Social media content can be used as a complementary source to the traditional methods for
extracting and studying collective social attributes. This study focuses on the prediction of …