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From Newsworthiness to Shareworthiness: How to Predict News Sharing Based on Article Characteristics

  • Damian Trilling*
  • , Petro Tolochko
  • , Björn Burscher
  • *Corresponding author for this work
  • University of Amsterdam
  • University of Vienna

Research output: Contribution to journal › Article › peer-review

Abstract (may include machine translation)

People increasingly visit online news sites not directly, but by following links on social network sites. Drawing on news value theory and integrating theories about online identities and self-representation, we develop a concept of shareworthiness, with which we seek to understand how the number of shares an article receives on such sites can be predicted. Findings suggest that traditional criteria of newsworthiness indeed play a role in predicting the number of shares, and that further development of a theory of shareworthiness based on the foundations of newsworthiness can offer fruitful insights in news dissemination processes.

Original languageEnglish
Pages (from-to)38-60
Number of pages23
JournalJournalism and Mass Communication Quarterly
Volume94
Issue number1
DOIs
StatePublished - Mar 2017
Externally publishedYes

Keywords

  • news dissemination
  • news sharing
  • news values
  • online news
  • social network sites

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