2020
DOI: 10.1080/1461670x.2020.1812421
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Delineating the Transnational Network Agenda-Setting Model of Mainstream Newspapers and Twitter: A Machine-Learning Approach

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Cited by 17 publications
(7 citation statements)
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“…The intermedia agenda-setting literature suggests a possible causal interpretation of our findings: Chinese state media activity can play an agenda-setting role, increasing audience attention to particular issues, driving local news outlets to cover those issues (Protess & McCombs, 1991;Sweetser et al, 2008). Social media (Ferrucci, 2018;Su & Lee, 2020;Valenzuela et al, 2017;, and Facebook in particular (Feezell, 2017), has been shown to play an outsized agenda-setting role. Agenda-setting effects have also been demonstrated for news sources, including Chinese state media, that reach across national boundaries (Cheng et al, 2015;Golan, 2007;Lim, 2006;).…”
Section: Discussionmentioning
confidence: 71%
“…The intermedia agenda-setting literature suggests a possible causal interpretation of our findings: Chinese state media activity can play an agenda-setting role, increasing audience attention to particular issues, driving local news outlets to cover those issues (Protess & McCombs, 1991;Sweetser et al, 2008). Social media (Ferrucci, 2018;Su & Lee, 2020;Valenzuela et al, 2017;, and Facebook in particular (Feezell, 2017), has been shown to play an outsized agenda-setting role. Agenda-setting effects have also been demonstrated for news sources, including Chinese state media, that reach across national boundaries (Cheng et al, 2015;Golan, 2007;Lim, 2006;).…”
Section: Discussionmentioning
confidence: 71%
“…When using quantitative research methods, content analysis was the main method (25.93%), and about 18.52% of quantitative research used the combination of content analysis and survey. There are 2 experimental methods Open Journal of Social Sciences (Su et al, 2020).…”
Section: With the Increase Of Artificial Intelligence Research Method...mentioning
confidence: 99%
“…The network of meaning (Fig. 2) was produced by closely following the method presented in Su et al 24 . However, where they used manual coders to train a topic model to identify substantive meaning in the texts, we followed the approach proposed by Nunez-Mir et al 19 and transformed the output of the topic model (the top ten keywords for each of the 13 topics) into a dictionary.…”
Section: Network Of Meaningmentioning
confidence: 99%
“…By performing an automated content analysis of these texts, we identify key 'topics'corresponding to what Nunez-Mir et al 19 call hidden thematic structures within bodies of literature. Next, we build on the theory of network agenda setting 20,21 , as well as methodological approaches such as framing and agenda setting 22 , convergence networks 23 and semantic networks 24 , to identify interconnections between these topics. The result is a visualisation that we call a network of meaning, which we define as a visual representation of complex text data, where topics are nodes that represent dominant ideas within texts and interconnections show how these ideas co-occur within texts (see "Methods" section for detail).…”
Section: Introductionmentioning
confidence: 99%