Dynamics of Networked Framing: Automated Frame Analysis of Government Media and the Public on Weibo With Pandemic Big Data

Zhao, Xinyan; Wang, Xiaohui

doi:10.1177/10776990211072508

Cited by 5 publications

(2 citation statements)

References 54 publications

(92 reference statements)

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“…Moreover, we pointed out that anti-regime narratives were the most ubiquitous networked frames on Persian Twitter. It reflected prior research on Persian Twitter (Azadi & Mesgaran, 2021; Kermani & Hooman, 2022; Kermani & Tafreshi, 2022; Khazraee, 2019) and in other non-democratic societies (Nip & Fu, 2016; X. Zhao & Wang, 2023).…”

Section: Discussionsupporting

confidence: 56%

Bots Versus Humans: Discursive Activism During the Pandemic in the Iranian Twittersphere

Kermani,

Bayat Makou,

Tafreshi

et al. 2023

Social Media + Society

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This article explores how the pandemic in Iran was discursively framed by automated accounts and human users. While there is a growing body of literature on bot activism, little is known about how bots and humans framed the pandemic in authoritarian regimes. Drawing on networked framing theory, we use both computational and qualitative methods to fill this gap. Our empirical analysis centers on a data set of 4,165,177 tweets collected between 27 January 2020 and 18 April 2020. We found that while anti-regime human users strongly criticized Iran’s regime, pro-regime bots countered with messages emphasizing the sacrifices of medical staff, the strength of Iran, and the failings of Western governments in managing the crisis. Our results suggest that Persian Twitter human users were largely against the regime, while the regime employed bots extensively to maintain balance. Human users used sarcasm, while pro-regime bots invoked religious and revolutionary sentiments metaphorically to defend the regime. By focusing on a relatively unexplored context, this article adds to the growing literature on bot activism.

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Section: Discussionsupporting

confidence: 56%

Bots Versus Humans: Discursive Activism During the Pandemic in the Iranian Twittersphere

Kermani,

Bayat Makou,

Tafreshi

et al. 2023

Social Media + Society

View full text Add to dashboard Cite

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“…Columbian TV news organizations use social media videos to complement their broadcast content, and to assess audience preferences (García-Perdomo, 2021). Use of social media in China for political expression and information affects civic engagement (Guo & Chen, 2022), and Chinese government and public user framing on the major social medium Weibo diverge in content and cohesion (Zhao & Wang, 2023). Identity-focused use social media by US Blacks can foster motivations to participate in Black community collective action (Stamps, 2022).…”

Section: Discussionmentioning

confidence: 99%

Mapping Media Developments and Issues: Topics, Clusters, and Content ofJMCQArticles on Communication Technology/Media Channels, 1935–2017

Rice,

Bucy

2023

Journalism & Mass Communication Quarterly

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This study analyzed JMCQ articles in the specific topic area of mass communication technology and media channels, overall and across four 20-year periods. Primary topics changed from emphasizing media industry and policy issues, international issues of information freedom, audience research, and WWII media issues in early periods to more specific regulatory issues, ratings and audience analyses, macro and social issues, and media technology development issues in more recent periods. JMCQ serves as a treasure trove of the history of broadcast media technology and competition, policy debates, and audience interests, with a recent emphasis on more rigorous empirical analyses.

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Framing of female medical personnel during the COVID-19 pandemic: a case study of the Chinese official media

Gao

Jin-fu

et al. 2023

Humanit Soc Sci Commun

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This paper analyzes the media frames adopted by the official WeChat and Sina Weibo accounts of the People’s Daily between January 1 and December 31, 2020, for reports about female medical personnel involved in pandemic prevention and control. Although the number of female medical personnel involved in pandemic prevention and control far exceeded that of their male counterparts, the extent of media reports on the former was far less than that of the latter. The human interest frame about female medical personnel was mainly applied, while the use of the action frame was less frequent, which highlighted the gender identity and family role of these women but weakened their professional identity. This was not conducive to praising the contributions of female medical personnel in fighting the pandemic. The media frames of reporting medical personnel in WeChat and Sina Weibo accounts of the People’s Daily are not always the same. After Wuhan’s lockdown ended on April 8, the proportion of the human interest frame of the report text of female medical personnel decreased, and the proportion of the action frame increased, while the proportion of the human interest frame of the report text of male medical personnel increased and the proportion of the action frame decreased. Previous studies mainly analyzed the use of the media frames of female news personalities, but few studies focused on whether women had the possibility of breaking away from the gender media frames. This study shows that some female medical personnel with exceptional professional competence are likely to transcend the gender media frames and receive similar coverage to that of male medical professionals, like Li Lanjuan and Chen Wei.

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Dynamics of Networked Framing: Automated Frame Analysis of Government Media and the Public on Weibo With Pandemic Big Data

Cited by 5 publications

References 54 publications

Bots Versus Humans: Discursive Activism During the Pandemic in the Iranian Twittersphere

Bots Versus Humans: Discursive Activism During the Pandemic in the Iranian Twittersphere

Mapping Media Developments and Issues: Topics, Clusters, and Content ofJMCQArticles on Communication Technology/Media Channels, 1935–2017

Framing of female medical personnel during the COVID-19 pandemic: a case study of the Chinese official media

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