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タイトル: Risk Society on Facebook during the Outbreak Epidemic in Taiwan
著者: Tsai, Yilin
キーワード: Risk Society
Uncertainty
Social Media
Data analysis
Corpus-driven analysis
発行日: 2021
出版者: 京都大学アジア研究教育ユニット
誌名: Proceedings of the Next Generation Global Workshop
巻: 14
開始ページ: 1
終了ページ: 18
論文番号: 28
抄録: Since the re-outbreak of the covid-19 this year, a large number of emergencies and doubtful messages have been circulating on social platforms. This article focus on how risk society works during the epidemic on social media. To observe whether the government's communication strategies lower people's uncertainty toward the epidemic, we used the social media insight tool “CrowdTangle” to collect data from Facebook pages including “Ministry of Health and Welfare”, six mayors from special municipalities, and a well-known bulletin board “PTT Gossiping”. This paper process a self-built corpus, containing text data from fan pages mentioned above by using the Chinese independent corpus analysis tool “Corpro”. The result shows that although the government did not choose the unsuccessful deficit model to communicate with people, it still failed to lower people's uncertainty due to audience preference shift. The risk communication strategies become more complex in an environment where the audience can reach sufficient information online.
記述: The 14th Next-Generation Global Workshop
第14回次世代グローバルワークショップ
テーマ/Theme: New Normal Lifestyles during/post-COVID-19: from Crisis to Opportunity
日程/Date: 25-26 September, 2021
開催場所/Venue: The workshop will be held Online
DOI: 10.14989/pnggw_14_28
URI: http://hdl.handle.net/2433/274842
関連リンク: https://www.kuasu.cpier.kyoto-u.ac.jp/news/the-14th-nextgeneration-globalworkshop/
出現コレクション:Proceedings of the 14th Next Generation Global Workshop

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