Replication Data for: Strategies of Chinese State Media on Twitter Article Swipe
Yingjie Fan
,
Jennifer Pan
,
Jaymee Sheng
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.7910/dvn/evvqgv
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.7910/dvn/evvqgv
How do state-controlled broadcasters reach foreign publics to engage in public diplomacy in the era of social media? Previous research suggests that features unique to social media, such as the ability to engage in two-way communication with audiences, provide state-controlled broadcasters new opportunities for online public diplomacy. In this paper, we examine what strategies were used by four Chinese state-controlled media outlets on Twitter to reach foreign publics as the Chinese Communist Party worked to expand its public diplomacy and international media outreach efforts. We find that all outlets increased the volume and diversity of content while none engaged in interactive, two-way communication with audiences, and none appeared to artificially inflate their follower count. One outlet, China Global Television Network, made outsized gains in followership, and it differs from the other Chinese outlets in that it was rebranded, it disseminated a relatively lower share of government-mandated narratives pertaining to China, and the tone of its reporting was more negative. These results show that during a period when Chinese state-controlled broadcasters gained followers on Twitter, outlets made limited use of features unique to social media and instead primarily used social media as a broadcast channel
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Metadata
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- en
- Landing Page
- https://doi.org/10.7910/dvn/evvqgv
- OA Status
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- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4398311196Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.7910/dvn/evvqgvDigital Object Identifier
- Title
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Replication Data for: Strategies of Chinese State Media on TwitterWork title
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datasetOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-07-06Full publication date if available
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Yingjie Fan, Jennifer Pan, Jaymee ShengList of authors in order
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https://doi.org/10.7910/dvn/evvqgvPublisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.7910/dvn/evvqgvDirect OA link when available
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Replication (statistics), State (computer science), Computer science, Internet privacy, Biology, Programming language, VirologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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