A territorial dispute or an agenda war? A cross-national investigation of the network agenda-setting (NAS) model. Issue 4 (1st October 2020)

• Record Type: Journal Article
• Authors: Su, Yan; Hu, Jun
• Is Part Of: Journal of information technology & politics. Volume 17:Issue 4(2020)
• Page Start: 357
• Page End: 375
• Publication Date: 2020-10-01
• Subjects: Network agenda setting model -- intermedia agenda setting -- Twitter -- newspapers -- supervised machine-learning; Electronic government information -- Periodicals; Internet in public administration -- Periodicals; Information technology -- Political aspects -- Periodicals; 320.0285
• DOI: 10.1080/19331681.2020.1756553
• Languages: English
• ISSNs: 1933-1681

Abstract

ABSTRACT: Anchored by the network agenda setting (NAS) model, this study uses a supervised machine-learning approach to analyze the agendas of major newspapers in China, Japan, and the United States, and discussions in Twittersphere, on the Diaoyu/Senkaku Islands dispute, as well as their intermedia effects. Network analyses suggested that Chinese media portrayed the dispute in a more biased way, whereas Twitter's discussions were overwhelmingly negative. Time-series analyses revealed reciprocities between newspapers and Twitter, while the relationship was asymmetrical where Twitter exerted a stronger bottom-up impact. Moreover, most reciprocities emerged between the U.S. and Chinese media, and Twitter.