2022
DOI: 10.1177/14648849221092521
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Networked agenda flow between elite U.S. newspapers and Twitter: A case study of the 2020 Black Lives Matter movement

Abstract: The rise of social media has engendered several debates over traditional media’s agenda-setting power. This study analyzes 4189 newspaper articles and over 1.23 million tweets about the 2020 Black Lives Matter movement from the perspective of network intermedia agenda-setting (IAS). The findings show that both platforms attach significance to the substantive attributes of policing, violence, and systemic racism. Notably, while the newspapers’ overall agenda had a supportive tone, Twitter used a condemning tone… Show more

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Cited by 5 publications
(7 citation statements)
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“…Furthermore, the use of computational content analysis (i.e., STM) enhances the methodological toolkit for intermedia agenda-setting research. While previous research has employed predefined content analytic schemes to identify agenda salience among different media types (e.g., Hunt & Gruszczynski, 2021), recent studies have begun to utilize inductive approaches such as topic modeling, especially for large-scale data (e.g., Su, 2023). This study expands on these efforts by demonstrating the utility of STM as an analytic framework to inductively identify agendas and statistically compare their intermedia salience.…”
Section: Discussionmentioning
confidence: 99%
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“…Furthermore, the use of computational content analysis (i.e., STM) enhances the methodological toolkit for intermedia agenda-setting research. While previous research has employed predefined content analytic schemes to identify agenda salience among different media types (e.g., Hunt & Gruszczynski, 2021), recent studies have begun to utilize inductive approaches such as topic modeling, especially for large-scale data (e.g., Su, 2023). This study expands on these efforts by demonstrating the utility of STM as an analytic framework to inductively identify agendas and statistically compare their intermedia salience.…”
Section: Discussionmentioning
confidence: 99%
“…It found, although traditional media had leading effects, social media also influenced on gaining public attention. Su (2023) employed a computational approach to investigate network agendas, elite U.S. newspapers, and Twitter users set for the 2020 Black Lives Matter (BLM) movement and used Granger causality to test the intermedia agenda-setting effects. The study found that both platforms had similar agendas yet with different narrative tones, and there was a significant reciprocity between the mainstream media and social media, even though the former had a more substantial impact on the latter.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The original agenda-setting theory hypothesizes the transfer of issue salience from the media toward the public, which is termed the first-level agenda setting (McCombs & Shaw, 1972). Subsequent researchers proposed the concept of attribute agenda setting as its second level, gauging more nuanced effects (e.g., Guo & Vargo, 2020; Kiousis et al, 1999; Lopez-Escobar et al, 1998; McCombs et al, 1997; Su, 2022). The “issue” of the first level refers to an object or a set of objects, while the “attribute” of the second level represents the “characteristics and properties that fill out the picture of each object” (McCombs et al, 1997, p. 704).…”
Section: Literature Reviewmentioning
confidence: 99%
“…While copious studies have been dedicated to examining Twitter’s role through the lens of IAS and has lent rich credence about the interaction paradigm between Twitter and legacy outlets (Conway et al, 2022; Valenzuela et al, 2017), many of them were only committed to describing the directionality of the agenda flow without adequately delving into the underlying societal, cultural, and organizational forces that shape the phenomena per se. Bearing in mind the omission of qualitative works, researchers have called for in-depth interviews to reveal nuances in the agenda-setting effects (e.g., Su, 2022). Therefore, departing from Study 1, we interview American newspaper journalists to provide evidence about the latent factors that shape the IAS effects in Study 2.…”
Section: Literature Reviewmentioning
confidence: 99%
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