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Internet Rumors During the COVID-19 Pandemic: Dynamics of Topics and Public Psychologies.
Xiao, Quan; Huang, Weiling; Zhang, Xing; Wan, Shanshan; Li, Xia.
  • Xiao Q; School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China.
  • Huang W; School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China.
  • Zhang X; School of Management, Wuhan Textile University, Wuhan, China.
  • Wan S; School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China.
  • Li X; School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China.
Front Public Health ; 9: 788848, 2021.
Article in English | MEDLINE | ID: covidwho-1608692
ABSTRACT
The capturing of social opinions, especially rumors, is a crucial issue in digital public health. With the outbreak of the COVID-19 pandemic, the discussions of related topics have increased exponentially in social media, with a large number of rumors on the Internet, which highly impede the harmony and sustainable development of society. As human health has never suffered a threat of this magnitude since the Internet era, past studies have lacked in-depth analysis of rumors regarding such a globally sweeping pandemic. This text-based analysis explores the dynamic features of Internet rumors during the COVID-19 pandemic considering the progress of the pandemic as time-series. Specifically, a Latent Dirichlet Allocation (LDA) model is used to extract rumor topics that spread widely during the pandemic, and the extracted six rumor topics, i.e., "Human Immunity," "Technology R&D," "Virus Protection," "People's Livelihood," "Virus Spreading," and "Psychosomatic Health" are found to show a certain degree of concentrated distribution at different stages of the pandemic. Linguistic Inquiry and Word Count (LIWC) is used to statistically test the psychosocial dynamics reflected in the rumor texts, and the results show differences in psychosocial characteristics of rumors at different stages of the pandemic progression. There are also differences in the indicators of psychosocial characteristics between truth and disinformation. Our results reveal which topics of rumors and which psychosocial characteristics are more likely to spread at each stage of progress of the pandemic. The findings contribute to a comprehensive understanding of the changing public opinions and psychological dynamics during the pandemic, and also provide reference for public opinion responses to major public health emergencies that may arise in the future.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Experimental Studies / Qualitative research Limits: Humans Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.788848

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Experimental Studies / Qualitative research Limits: Humans Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.788848