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2.
China Information ; : 0920203X211054172, 2021.
Article in English | Sage | ID: covidwho-1582823

ABSTRACT

This study examines the discursive practice of mourning and commenting by netizens on the final social media post made by Dr Li Wenliang, regarding it as a form of political participation and competitive discursive politics enacted in cyberspace. Discourse theory is applied to conduct discourse analysis on 4000 comments. We identified two strategies that netizens used to establish an alternative space for discourse. The first involved hidden protests expressed through multi-semantic mourning, avoiding suppression by indirectly challenging official authorities. Second, through engagement with microblogs, netizens applied personalized narratives to form a collective memory and a counter-memory space that departed from the official normative narrative. Discursive activities enacted by netizens stimulated the political agenda of resilient adjustment on the part of the authorities, leading the government to accept and incorporate public demands into policies through strategic rectification. These findings help to better understand the significant power of disorganized connective action that is reliant on affective citizens and the further development of regime resilience on the part of the Chinese political system in response to digital activities.

3.
J Med Internet Res ; 22(12): e19470, 2020 12 02.
Article in English | MEDLINE | ID: covidwho-952945

ABSTRACT

BACKGROUND: In recent years, public health incidents that pose a serious threat to public life have occurred frequently in China. The use of social media by public health authorities has helped to reduce these threats by increasing effective risk communication between the government and the public. OBJECTIVE: The aim of this study is to reveal how China's Center for Disease Control and Prevention (CDC) uses social media to improve three aspects of health communication between the government and the public: adoption, operation, and interaction. METHODS: To analyze the 134 CDC government Weibo accounts at the provincial- and prefecture-level administration regions in mainland China, we collected their account data and extracted 1215 Weibo tweets. We also supplemented the data to reveal the overall performance of the CDC's government Weibo use during the COVID-19 crisis. RESULTS: The registration rate of the CDC's government Weibo accounts increased year by year, and the local authorities registered Weibo accounts before the central government authorities. In total, 29.8% (n=134) of the 450 CDC facilities have registered an account. Among the 134 CDC facilities that have registered Weibo accounts, the registration rate in the eastern region (n=68, 50.7%) was higher than those in the central region (n=30, 22.4%) and the western region (n=36, 26.9%). Nearly 90.0% of these Weibo accounts had official certification, but there were dropouts in the specific operating process. One-third of the accounts have not been updated for more than 1 year, and the number of Weibo followers was polarized, with a maximum and minimum difference of 1 million. The response rate to users' comments was less than 1%. Emergency information, multimedia content, and original content were more helpful in promoting communication between the government and the public. Such interaction was partially improved during the COVID-19 pandemic. The CDC updated the daily epidemic situation and provided popular science information for epidemic prevention and control for the public in a timely manner. CONCLUSIONS: China's CDC is using more social media to popularize daily health information and has taken the first step to improve communication between the government and the public. However, equal dialogue, two-way interactions, and effective communication with the public still need improvement.


Subject(s)
COVID-19/epidemiology , Government Agencies , Health Communication/methods , Public Health/methods , Social Media/statistics & numerical data , Surveys and Questionnaires , China/epidemiology , Humans , Pandemics , SARS-CoV-2
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