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New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China
BACKGROUND: In the early stage of the COVID-19 outbreak in China, several social rumors in the form of false news, conspiracy theories, and magical cures had ever been shared and spread among the general public at an alarming rate, causing public panic and increasing the complexity and difficulty of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271676/ https://www.ncbi.nlm.nih.gov/pubmed/35832275 http://dx.doi.org/10.3389/fpubh.2022.864955 |
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author | Lv, Wei Zhou, Wennan Gao, Binli Han, Yefan Fang, Han |
author_facet | Lv, Wei Zhou, Wennan Gao, Binli Han, Yefan Fang, Han |
author_sort | Lv, Wei |
collection | PubMed |
description | BACKGROUND: In the early stage of the COVID-19 outbreak in China, several social rumors in the form of false news, conspiracy theories, and magical cures had ever been shared and spread among the general public at an alarming rate, causing public panic and increasing the complexity and difficulty of social management. Therefore, this study aims to reveal the characteristics and the driving factors of the social rumors during the COVID-19 pandemic. METHODS: Based on a sample of 1,537 rumors collected from Sina Weibo's debunking account, this paper first divided the sample into four categories and calculated the risk level of all kinds of rumors. Then, time evolution analysis and correlation analysis were adopted to study the time evolution characteristics and the spatial and temporal correlation characteristics of the rumors, and the four stages of development were also divided according to the number of rumors. Besides, to extract the key driving factors from 15 rumor-driving factors, the social network analysis method was used to investigate the driver-driver 1-mode network characteristics, the generation driver-rumor 2-mode network characteristics, and the spreading driver-rumor 2-mode characteristics. RESULTS: Research findings showed that the number of rumors related to COVID-19 were gradually decreased as the outbreak was brought under control, which proved the importance of epidemic prevention and control to maintain social stability. Combining the number and risk perception levels of the four types of rumors, it could be concluded that the Creating Panic-type rumors were the most harmful to society. The results of rumor drivers indicated that panic psychology and the lag in releasing government information played an essential role in driving the generation and spread of rumors. The public's low scientific literacy and difficulty in discerning highly confusing rumors encouraged them to participate in spreading rumors. CONCLUSION: The study revealed the mechanism of rumors. In addition, studies involving rumors on different emergencies and social platforms are warranted to enrich the findings. |
format | Online Article Text |
id | pubmed-9271676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92716762022-07-12 New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China Lv, Wei Zhou, Wennan Gao, Binli Han, Yefan Fang, Han Front Public Health Public Health BACKGROUND: In the early stage of the COVID-19 outbreak in China, several social rumors in the form of false news, conspiracy theories, and magical cures had ever been shared and spread among the general public at an alarming rate, causing public panic and increasing the complexity and difficulty of social management. Therefore, this study aims to reveal the characteristics and the driving factors of the social rumors during the COVID-19 pandemic. METHODS: Based on a sample of 1,537 rumors collected from Sina Weibo's debunking account, this paper first divided the sample into four categories and calculated the risk level of all kinds of rumors. Then, time evolution analysis and correlation analysis were adopted to study the time evolution characteristics and the spatial and temporal correlation characteristics of the rumors, and the four stages of development were also divided according to the number of rumors. Besides, to extract the key driving factors from 15 rumor-driving factors, the social network analysis method was used to investigate the driver-driver 1-mode network characteristics, the generation driver-rumor 2-mode network characteristics, and the spreading driver-rumor 2-mode characteristics. RESULTS: Research findings showed that the number of rumors related to COVID-19 were gradually decreased as the outbreak was brought under control, which proved the importance of epidemic prevention and control to maintain social stability. Combining the number and risk perception levels of the four types of rumors, it could be concluded that the Creating Panic-type rumors were the most harmful to society. The results of rumor drivers indicated that panic psychology and the lag in releasing government information played an essential role in driving the generation and spread of rumors. The public's low scientific literacy and difficulty in discerning highly confusing rumors encouraged them to participate in spreading rumors. CONCLUSION: The study revealed the mechanism of rumors. In addition, studies involving rumors on different emergencies and social platforms are warranted to enrich the findings. Frontiers Media S.A. 2022-06-27 /pmc/articles/PMC9271676/ /pubmed/35832275 http://dx.doi.org/10.3389/fpubh.2022.864955 Text en Copyright © 2022 Lv, Zhou, Gao, Han and Fang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Lv, Wei Zhou, Wennan Gao, Binli Han, Yefan Fang, Han New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China |
title | New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China |
title_full | New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China |
title_fullStr | New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China |
title_full_unstemmed | New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China |
title_short | New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in China |
title_sort | new insights into the social rumor characteristics during the covid-19 pandemic in china |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271676/ https://www.ncbi.nlm.nih.gov/pubmed/35832275 http://dx.doi.org/10.3389/fpubh.2022.864955 |
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