Automatic elicitation of semantic information from natural language texts is an important
research problem with many practical application areas. Especially after the recent …

Online forums and social media platforms are increasingly being used to discuss topics of
varying polarities where different people take different stances. Several methodologies for …

Controversial posts are those that split the preferences of a community, receiving both
significant positive and significant negative feedback. Our inclusion of the word" community" …

Expressed opinions on social media frequently cause a controversy. Controversial content
refers to content that attracts different opinions and interrogations, implying interaction …

Recently, the problem of automated controversy detection has attracted a lot of interest in the
information retrieval community. Existing approaches to this problem have set forth a …

All societies have been much more bipolar over the past few years, particularly after the
emergence of online social networks and media. In fact, the gap between two ends of social …

Controversial content refers to any content that attracts both positive and negative feedback.
Its automatic identification, especially on social media, is a challenging task as it should be …

Controversy is a complex concept that has been attracting attention of scholars from diverse
fields. In the era of Internet and social media, detecting controversy and controversial …

While search engines are effective in answering direct factual questions such as,'What are
the symptoms of a disease X?', they are not so effective in addressing complex consumer …

A growing body of research focuses on computationally detecting controversial topics and
understanding the stances people hold on them. Yet gaps remain in our theoretical and …