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Can World System Theory predict news flow on twitter? The case of government-sponsored broadcasting

Bibliographic Data

ID7516776
AuthorsGuy J Golan (0000-0003-4083-1135, Syracuse University, corresponding author), Itai Himelboim (0000-0001-7981-5613, University of Georgia)
Year2015
Volume19
Issue8
Pages1150-1170
Publication date2015-11-09
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInformation Communication & Society (JOURNAL)
Journal identifiersISSN: 1369-118X • E-ISSN: 1468-4462
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/1369118x.2015.1106572
OpenAlexW2169946674
LanguageEN
Citations received24
References cited84

Social media platforms provide world governments with the opportunity to distribute news content from their broadcast channels directly to foreign publics [Wallerstein, I. (1974). The modern world system. New York: Academic Press] World System Theory, which has successfully explained and predicted the structure of international news flow, is now being challenged. Specifically, these social platforms undermined assumptions regarding the one-way flow of information toward audiences and the exclusive institutional nature of the players in the international system. This study examines the unique case of government-sponsored news media and its international news flow. It finds that while the structure of the international news flow on Twitter exhibits a hierarchical core–periphery structure, non-institutional actors (e.g. bloggers) conformed less than institutional players (e.g. governments and news media) to that structure. This study also found that non-institutional actors assumed the role of bridging news sources and audiences, a role traditionally reserved for a small minority of elite news media. The growing and diversified pool of information mediators resulted in a more fragmented network of news flow, siloed, rather than interconnected. Research findings are synthesized and analyzed in the context of international broadcasting and social media scholarship

Advertising · Broadcasting (networking · Business · Context (archaeology · Elite · Government (linguistics · Information flow · Media studies · News media · News values · Political science · Politics · Public relations · Scholarship · Social media · Sociology · Complex Network Analysis Techniques · Computer Science · Law · Opinion Dynamics and Social Influence · Social Media and Politics

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Unique citing works24
Citations per year2,4
Citation span2016 - 2026 (11)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 24

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