Evidence map›Paper›PMID 38748460›Full record

ArticleJournal of medical Internet research2024

Difference in Rumor Dissemination and Debunking Before and After the Relaxation of COVID-19 Prevention and Control Measures in China: Infodemiology Study.

Xiaoqi Liu, Qingyuan Hu, Jie Wang, Xusheng Wu, Dehua Hu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoqi LiuDepartment of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, Hunan, China.ORCID 0009-0007-2763-5849
Qingyuan HuDepartment of Research, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.ORCID 0000-0003-0838-6887
Jie WangSchool of Life Sciences, Central South University, Changsha, Hunan, China.ORCID 0009-0002-0566-9865
Xusheng WuShenzhen Health Care Development Research and Data Management Center, Shenzhen, Guangdong, China.ORCID 0009-0001-2651-0813
Dehua HuDepartment of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, Hunan, China.ORCID 0000-0001-8027-405X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe information epidemic emerged along with the COVID-19 pandemic. While controlling the spread of COVID-19, the secondary harm of epidemic rumors to social order cannot be ignored.

objectiveThe objective of this paper was to understand the characteristics of rumor dissemination before and after the pandemic and the corresponding rumor management and debunking mechanisms. This study aimed to provide a theoretical basis and effective methods for relevant departments to establish a sound mechanism for managing network rumors related to public health emergencies such as COVID-19.

methodsThis study collected data sets of epidemic rumors before and after the relaxation of the epidemic prevention and control measures, focusing on large-scale network rumors. Starting from 3 dimensions of rumor content construction, rumor propagation, and rumor-refuting response, the epidemic rumors were subdivided into 7 categories, namely, involved subjects, communication content, emotional expression, communication channels, communication forms, rumor-refuting subjects, and verification sources. Based on this framework, content coding and statistical analysis of epidemic rumors were carried out.

resultsThe study found that the rumor information was primarily directed at a clear target audience. The main themes of rumor dissemination were related to the public's immediate interests in the COVID-19 field, with significant differences in emotional expression and mostly negative emotions. Rumors mostly spread through social media interactions, community dissemination, and circle dissemination, with text content as the main form, but they lack factual evidence. The preferences of debunking subjects showed differences, and the frequent occurrence of rumors reflected the unsmooth channels of debunking. The χ

conclusionsThis study's results showed that the themes of rumors during the pandemic are closely related to the immediate interests of the public, and the emotions of the public accelerate the spread of these rumors, which are mostly disseminated through social networks. Therefore, to more effectively prevent and control the spread of rumors during the pandemic and to enhance the capability to respond to public health crises, relevant authorities should strengthen communication with the public, conduct emotional risk assessments, and establish a joint mechanism for debunking rumors.

Indexed as

COVID-19Information DisseminationPandemicsChinaCommunicationHumansSARS-CoV-2Social MediaChinadebunking mechanisminformation epidemicnew stagepropagation characteristicpublic health emergency

Identifiers

PMID38748460
PMCPMC11137433

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.