4.7 Article

COVID-19-Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study

Journal

JOURNAL OF MEDICAL INTERNET RESEARCH
Volume 23, Issue 12, Pages -

Publisher

JMIR PUBLICATIONS, INC
DOI: 10.2196/27339

Keywords

COVID-19; rumor; strategy; China; social media

Funding

  1. Major Program of the National Social Science Foundation of China [20ZD120]

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This study examined the characteristics and propagation of rumors during the early months of the COVID-19 pandemic in China. It found that rumors mainly originated from personal social media accounts and were positively associated with the severity of the epidemic. The release of correction articles was effective in reducing the proportion of rumor reports, while citizens' comments on rumors and correct information showed similar levels of negative sentiments.
Background: Given the permeation of social media throughout society, rumors spread faster than ever before, which significantly complicates government responses to public health emergencies such as the COVID-19 pandemic. Objective: We aimed to examine the characteristics and propagation of rumors during the early months of the COVID-19 pandemic in China and evaluated the effectiveness of health authorities' release of correction announcements. Methods: We retrieved rumors widely circulating on social media in China during the early stages of the COVID-19 pandemic and assessed the effectiveness of official government clarifications and popular science articles refuting those rumors. Results: We show that the number of rumors related to the COVID-19 pandemic fluctuated widely in China between December 1, 2019 and April 15, 2020. Rumors mainly occurred in 3 provinces: Hubei, Zhejiang, and Guangxi. Personal social media accounts constituted the major source of media reports of the 4 most widely distributed rumors (the novel coronavirus can be prevented with Shuanghuanglian: 7648/10,664, 71.7%; the novel coronavirus is the SARS coronavirus: 14,696/15,902, 92.4%; medical supplies intended for assisting Hubei were detained by the local government: 3911/3943, 99.2%; asymptomatically infected persons were regarded as diagnosed COVID-19 patients with symptoms in official counts: 322/323, 99.7%). The number of rumors circulating was positively associated with the severity of the COVID-19 epidemic (rho=0.88, 95% CI 0.81-0.93). The release of correction articles was associated with a substantial decrease in the proportion of rumor reports compared to accurate reports. The proportions of negative sentiments appearing among comments by citizens in response to media articles disseminating rumors and disseminating correct information differ insignificantly (both correct reports: chi(2)(1)=0.315, P=.58; both rumors: chi(2)(1)=0.025, P=.88; first rumor and last correct report: chi(2)(1)=1.287, P=.26; first correct report and last rumor: chi(2)(1)=0.033, P=.86). Conclusions: Our results highlight the importance and urgency of monitoring and correcting false or misleading reports on websites and personal social media accounts. The circulation of rumors can influence public health, and government bodies should establish guidelines to monitor and mitigate the negative impact of such rumors.

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