Networks, Big Data, and Intermedia Agenda Setting: An Analysis of Traditional, Partisan, and Emerging Online U.S. News

This large-scale intermedia agenda–setting analysis examines U.S. online media sources for 2015. The network agenda–setting model showed that media agendas were highly homogeneous and reciprocal. Online partisan media played a leading role in the entire media agenda. Two elite newspapers—The New Yor...

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Bibliographic Details
Published inJournalism & mass communication quarterly Vol. 94; no. 4; pp. 1031 - 1055
Main Authors Vargo, Chris J., Guo, Lei
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.12.2017
SAGE PUBLICATIONS, INC
Subjects
Agenda
Agenda Setting
Big Data
Causal Models
Content analysis
Influence
Journalists
Mass media
Networks
News
News media
Partisanship
Public relations
Research methodology
Researchers
Scholars
Social Environment
Studies
Television
Television news
Websites
United States > US
intermedia agenda setting
computational social science
partisanship
network agenda setting
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Summary:This large-scale intermedia agenda–setting analysis examines U.S. online media sources for 2015. The network agenda–setting model showed that media agendas were highly homogeneous and reciprocal. Online partisan media played a leading role in the entire media agenda. Two elite newspapers—The New York Times and The Washington Post—were found to no longer be in control of the news agenda and were more likely to follow online partisan media. This article provides evidence for a nuanced view of the network agenda–setting model; intermedia agenda–setting effects varied by media type, issue type, and time periods.
ISSN:1077-6990
2161-430X
DOI:10.1177/1077699016679976