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

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Bibliographische Detailangaben
Beteiligte: Trilling, Damian, Tolochko, Petro, Burscher, Björn
In: Journalism & Mass Communication Quarterly, 94, 2017, 1, S. 38-60
veröffentlicht:
SAGE Publications
Medientyp: Artikel, E-Artikel

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Umfang: 38-60
ISSN: 1077-6990
2161-430X
DOI: 10.1177/1077699016654682
veröffentlicht in: Journalism & Mass Communication Quarterly
Sprache: Englisch
Schlagwörter:
Kollektion: SAGE Publications (CrossRef)
Inhaltsangabe

<jats:p> 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. </jats:p>