From Newsworthiness to Shareworthiness How to Predict News Sharing Based on Article Characteristics
- Author(s)
- Damian Trilling, Petro Tolochko, Björn Burscher
- Abstract
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.
- Organisation(s)
- Department of Communication
- External organisation(s)
- University of Amsterdam (UvA)
- Journal
- Journalism & Mass Communication Quarterly
- ISSN
- 1077-6990
- Publication date
- 06-2016
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 508007 Communication science
- ASJC Scopus subject areas
- Social Sciences(all)
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/from-newsworthiness-to-shareworthiness-how-to-predict-news-sharing-based-on-article-characteristics(6e568692-46e2-484a-9190-d20130953230).html