Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

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

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Author(s): Liu X;Liu X; Hu Q; Hu Q; Wang J; Wang J; Wu X; Wu X; Hu D; Hu D
  • Source:
    Journal of medical Internet research [J Med Internet Res] 2024 May 15; Vol. 26, pp. e48564. Date of Electronic Publication: 2024 May 15.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
    • Publication Information:
      Publication: <2011- > : Toronto : JMIR Publications
      Original Publication: [Pittsburgh, PA? : s.n., 1999-
    • Subject Terms:
    • Abstract:
      Background: The 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.
      Objective: The 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.
      Methods: This 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.
      Results: The 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 2 test of data before and after the pandemic showed that the P value was less than .05, indicating that the difference in rumor content before and after the pandemic had statistical significance.
      Conclusions: This 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.
      (©Xiaoqi Liu, Qingyuan Hu, Jie Wang, Xusheng Wu, Dehua Hu. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.05.2024.)
    • References:
      Trans N Y Acad Sci. 1945 Dec;8:61-81. (PMID: 21012248)
      J Med Internet Res. 2021 Feb 15;23(2):e22427. (PMID: 33493124)
      Sci Rep. 2022 May 26;12(1):8910. (PMID: 35618751)
      Heliyon. 2022 Oct 24;8(10):e11231. (PMID: 36311360)
      Math Biosci Eng. 2021 Jul 5;18(5):6012-6033. (PMID: 34517521)
      J Theor Biol. 2017 Jul 7;424:73-83. (PMID: 28479003)
      Math Biosci Eng. 2010 Apr;7(2):347-61. (PMID: 20462293)
      Science. 2018 Mar 9;359(6380):1094-1096. (PMID: 29590025)
      Nature. 2013 Jan 10;493(7431):135. (PMID: 23302823)
      Physica D. 2020 Oct;411:132626. (PMID: 32834247)
      J Med Internet Res. 2020 Nov 25;22(11):e21933. (PMID: 33112757)
      PLoS One. 2022 Mar 7;17(3):e0264985. (PMID: 35255106)
    • Contributed Indexing:
      Keywords: China; debunking mechanism; information epidemic; new stage; propagation characteristic; public health emergency
    • Publication Date:
      Date Created: 20240515 Date Completed: 20240515 Latest Revision: 20250722
    • Publication Date:
      20250722
    • Accession Number:
      PMC11137433
    • Accession Number:
      10.2196/48564
    • Accession Number:
      38748460