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

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...

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Bibliographic Details
Published inJournalism & mass communication quarterly Vol. 94; no. 1; pp. 38 - 60
Main Authors Trilling, Damian, Tolochko, Petro, Burscher, Björn
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.03.2017
SAGE PUBLICATIONS, INC
Subjects
Algorithms
Audiences
Authorship
Communication
Communication (Thought Transfer)
Experiments
Information Theory
Journalism
Journalists
Mass Media
Opinions
Partisanship
Sharing Behavior
Social Media
Social networks
Theory
news sharing
social network sites
news values
news dissemination
online news
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Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1077-6990
2161-430X
DOI:10.1177/1077699016654682