Analyzing the public discourse on works of fiction – Detection and visualization of emotion in online coverage about HBO’s Game of Thrones: Emotion and Sentiment in Social and Expressive Media

Arno Scharl, Alexander Hubmann-Haidvogel, Alistair Jones, Daniel Fischl, Ruslan Kamolov, Albert Weichselbraun, Walter Rafelsberger

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper presents a Web intelligence portal that captures and aggregates news and social media coverage about “Game of Thrones”, an American drama television series created for the HBO television network based on George R.R. Martin’s series of fantasy novels. The system collects content from the Web sites of Anglo-American news media as well as from four social media platforms: Twitter, Facebook, Google+ and YouTube. An interactive dashboard with trend charts and synchronized visual analytics components not only shows how often Game of Thrones events and characters are being mentioned by journalists and viewers, but also provides a real-time account of concepts that are being associated with the unfolding storyline and each new episode. Positive or negative sentiment is computed automatically, which sheds light on the perception of actors and new plot elements.
Original languageEnglish
Pages (from-to)129-138
Number of pages10
JournalInformation Processing & Management
Volume52
Issue number1
DOIs
Publication statusPublished - Jan 2016

Keywords

  • Knowledge extraction
  • Web intelligence
  • Visual analytics
  • Interactive dashboard
  • Television series
  • Game of Thrones

Fingerprint

Dive into the research topics of 'Analyzing the public discourse on works of fiction – Detection and visualization of emotion in online coverage about HBO’s Game of Thrones: Emotion and Sentiment in Social and Expressive Media'. Together they form a unique fingerprint.

Cite this