Tweeting about TV: Sharing television viewing experiences via social media message streams

D. Yvette Wohn, Eun Kyung Na

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

Through content analysis of messages posted on Twitter, we categorize the types of content into a matrix - attention, emotion, information, and opinion. We use this matrix to analyze televised political and entertainment programs, finding that different types of messages are salient for different types of programs, and that the frequencies of the types correspond with the program content. Our analyses suggest that Twitter picks up where formal social television systems failed: people are using the tool to selectively seek others who have similar interests and communicate their thoughts synchronous with television viewing.

Original languageEnglish (US)
JournalFirst Monday
Volume16
Issue number3
DOIs
StatePublished - Mar 7 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications

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