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

被引：106

作者：

Vargo, Chris ^{[1
]}

Guo, Lei ^{[2
]}

机构：

[1] Univ Alabama, Publ Relat, Tuscaloosa, AL USA

[2] Boston Univ, Boston, MA 02215 USA

来源：

JOURNALISM & MASS COMMUNICATION QUARTERLY | 2017年 / 94卷 / 04期

关键词：

network agenda setting; intermedia agenda setting; partisanship; computational social science; BLOGS; TWITTER; MEDIA;

D O I：

10.1177/1077699016679976

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

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 newspapersThe New York Times and The Washington Postwere 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.

引用

页码：1031 / 1055

页数：25

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