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

  • D. Yvette Wohn Michigan State University
  • Eun-Kyung Na Keio University
Keywords: Twitter, social television,

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 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.

Author Biographies

D. Yvette Wohn, Michigan State University
Yvette is interested in new media effects, with a specific interest in prosocial outcomes of social networks, with a specific interest in games. Other projects include socio-economic behavior in virtual worlds and media continuance.
Eun-Kyung Na, Keio University
Eun-Kyung Na is a PhD candidate at Keio University and associate at Samsung Electronics' Media Solution Center. She is interested in social media content and business implications.
Published
2011-02-07
How to Cite
Wohn, D. Y., & Na, E.-K. (2011). Tweeting about TV: Sharing television viewing experiences via social media message streams. First Monday, 16(3). https://doi.org/10.5210/fm.v16i3.3368