Journal article
COVID-19-Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study
Journal of medical Internet research, Vol.23(12), p.e27339
12/23/2021
DOI: 10.2196/27339
PMCID: PMC8709421
PMID: 34806992
Abstract
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.
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.
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.
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 (ρ=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: χ
=0.315, P=.58; both rumors: χ
=0.025, P=.88; first rumor and last correct report: χ
=1.287, P=.26; first correct report and last rumor: χ
=0.033, P=.86).
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.
Details
- Title: Subtitle
- COVID-19-Related Rumor Content, Transmission, and Clarification Strategies in China: Descriptive Study
- Creators
- Peishan Ning - Central South UniversityPeixia Cheng - Central South UniversityJie Li - Central South UniversityMing Zheng - Department of Epidemiology and Health Statistics, Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, ChinaDavid C Schwebel - University of Alabama at BirminghamYang Yang - University of FloridaPeng Lu - Central South UniversityLi Mengdi - Department of Sociology, Central South University, Changsha, ChinaZhuo Zhang - Central South UniversityGuoqing Hu - Xiangya Hospital Central South University
- Resource Type
- Journal article
- Publication Details
- Journal of medical Internet research, Vol.23(12), p.e27339
- DOI
- 10.2196/27339
- PMID
- 34806992
- PMCID
- PMC8709421
- NLM abbreviation
- J Med Internet Res
- ISSN
- 1438-8871
- eISSN
- 1438-8871
- Language
- English
- Date published
- 12/23/2021
- Academic Unit
- Research Administration
- Record Identifier
- 9984949179702771
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