Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Veronika Karnowski - , Ludwig Maximilian University of Munich (Author)
  • Dominik J. Leiner - , Ludwig Maximilian University of Munich (Author)
  • Anna Sophie Kümpel-Unkel - , Ludwig Maximilian University of Munich (Author)
  • Larissa Leonhard - , Leipzig University (Author)

Abstract

We investigated how sharing performance on Facebook and Twitter is influenced both by news articles’ content characteristics and the availability of additional news articles reporting on the same news topic. We conducted a multi-method study, integrating automated data collection and manual/automated content analyses of 1,764 German online news articles. Our findings show the influence of news factors and, more importantly, news outlets on sharing performance, while simultaneously highlighting differences between the logics of news sharing on Facebook and Twitter. We also find that the first article reporting on a news event is shared more often than subsequent articles.

Details

Original languageEnglish
Pages (from-to)59-82
JournalJournalism & mass communication quarterly
Volume98
Issue number1
Publication statusPublished - 24 Aug 2020
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 85089783576

Keywords