Networks, Big Data, and Intermedia Agenda Setting: An Analysis of Traditional, Partisan, and Emerging Online US News
Networks, Big Data, and Intermedia Agenda Setting: An Analysis of Traditional, Partisan, and Emerging Online US News
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DOI：
10.1177/1077699016679976
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发表时间：
2017-12-01
影响因子：
3.6
通讯作者：
Guo, Lei
中科院分区：
文献类型：
--
作者：
Vargo, Chris;Guo, Lei
这份大规模的跨媒体分析报告分析了2015年美国在线媒体来源。网络媒体设置模式表明，媒体议程是高度同质和互惠的。在线党派媒体在整个媒体议程中发挥了主导作用。两大精英报纸《纽约时报》和《华盛顿邮报》被发现不再控制新闻议程，更有可能关注在线党派媒体。本文提供的证据，网络广告设置模型的细微差别的看法，媒体广告设置效果不同的媒体类型，问题类型，和时间段。
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.