The Dynamics of Issue Frame Competition in Traditional and Social Media

  • Guggenheim L
  • Jang S
  • Bae S
 et al. 
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Abstract

This study examines the dynamics of the framing of mass shooting incidences in the U.S. occurring in the traditional commercial online news media and Twitter. We demonstrate that there is a dynamic, reciprocal relationship between the attention paid to different aspects of mass shootings in online news and in Twitter: tweets tend to be responsive to traditional media reporting, but traditional media framing of these incidents also seems to resonate from public framing in the Twitterverse. We also explore how different frames become prominent as they compete among media as time passes after shooting events. Finally, we find that key differences emerge between norms of journalistic routine and how users rely on Twitter to express their reactions to these tragic shooting incidents.

Author-supplied keywords

  • Twitter
  • big data
  • framing
  • mass shootings
  • social media
  • time series analysis
  • word clouds

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Authors

  • S. Mo JangUniversity of South Carolina

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  • Lauren Guggenheim

  • Soo Young Bae

  • W. Russell Neuman

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