Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/87665
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dc.contributorSchool of Nursingen_US
dc.creatorLiao, Qen_US
dc.creatorYuan, Jen_US
dc.creatorDong, Men_US
dc.creatorYang, Len_US
dc.creatorFielding, Ren_US
dc.creatorLam, WWTen_US
dc.date.accessioned2020-07-16T04:00:25Z-
dc.date.available2020-07-16T04:00:25Z-
dc.identifier.issn1439-4456en_US
dc.identifier.urihttp://hdl.handle.net/10397/87665-
dc.language.isoenen_US
dc.publisherJMIR Publications, Inc.en_US
dc.rights©Qiuyan Liao, Jiehu Yuan, Meihong Dong, Lin Yang, Richard Fielding, Wendy Wing Tak Lam. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.05.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.en_US
dc.rightsThe following publication Liao, Q., Yuan, J., Dong, M., Yang, L., Fielding, R., & Lam, W. W. T. (2020). Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data. Journal of Medical Internet Research, 22(5), e18796 is available at https://dx.doi.org/10.2196/18796en_US
dc.subjectContent analysisen_US
dc.subjectCOVID-19en_US
dc.subjectEpidemicen_US
dc.subjectInfectious diseaseen_US
dc.subjectOutbreaken_US
dc.subjectPandemicen_US
dc.subjectRisk communicationen_US
dc.subjectSocial mediaen_US
dc.titlePublic engagement and government responsiveness in the communications about COVID-19 during the early epidemic stage in China : infodemiology study on social media dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume22en_US
dc.identifier.issue5en_US
dc.identifier.doi10.2196/18796en_US
dcterms.abstractBackground: Effective risk communication about the outbreak of a newly emerging infectious disease in the early stage is critical for managing public anxiety and promoting behavioral compliance. China has experienced the unprecedented epidemic of the coronavirus disease (COVID-19) in an era when social media has fundamentally transformed information production and consumption patterns. Objective: This study examined public engagement and government responsiveness in the communications about COVID-19 during the early epidemic stage based on an analysis of data from Sina Weibo, a major social media platform in China.en_US
dcterms.abstractMethods: Weibo data relevant to COVID-19 from December 1, 2019, to January 31, 2020, were retrieved. Engagement data (likes, comments, shares, and followers) of posts from government agency accounts were extracted to evaluate public engagement with government posts online. Content analyses were conducted for a random subset of 644 posts from personal accounts of individuals, and 273 posts from 10 relatively more active government agency accounts and the National Health Commission of China to identify major thematic contents in online discussions. Latent class analysis further explored main content patterns, and chi-square for trend examined how proportions of main content patterns changed by time within the study time frame.en_US
dcterms.abstractResults: The public response to COVID-19 seemed to follow the spread of the disease and government actions but was earlier for Weibo than the government. Online users generally had low engagement with posts relevant to COVID-19 from government agency accounts. The common content patterns identified in personal and government posts included sharing epidemic situations; general knowledge of the new disease; and policies, guidelines, and official actions. However, personal posts were more likely to show empathy to affected people (χ21=13.3, P<.001), attribute blame to other individuals or government (χ21=28.9, P<.001), and express worry about the epidemic (χ21=32.1, P<.001), while government posts were more likely to share instrumental support (χ21=32.5, P<.001) and praise people or organizations (χ21=8.7, P=.003). As the epidemic evolved, sharing situation updates (for trend, χ21=19.7, P<.001) and policies, guidelines, and official actions (for trend, χ21=15.3, P<.001) became less frequent in personal posts but remained stable or increased significantly in government posts. Moreover, as the epidemic evolved, showing empathy and attributing blame (for trend, χ21=25.3, P<.001) became more frequent in personal posts, corresponding to a slight increase in sharing instrumental support, praising, and empathizing in government posts (for trend, χ21=9.0, P=.003).en_US
dcterms.abstractConclusions: The government should closely monitor social media data to improve the timing of communications about an epidemic. As the epidemic evolves, merely sharing situation updates and policies may be insufficient to capture public interest in the messages. The government may adopt a more empathic communication style as more people are affected by the disease to address public concerns.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of medical Internet research, May 2020, v. 22, no. 5, e18796en_US
dcterms.isPartOfJournal of medical Internet researchen_US
dcterms.issued2020-05-
dc.identifier.isiWOS:000535395600001-
dc.identifier.scopus2-s2.0-85085538888-
dc.identifier.pmid32412414-
dc.identifier.eissn1438-8871en_US
dc.identifier.artne18796en_US
dc.description.validate202007 bcwhen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Othersen_US
dc.description.pubStatusPublisheden_US
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