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Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China

Background: To adapt the scientific evaluation tool for the confusion evaluation of health rumors and to test this tool to the confusion evaluation of coronavirus disease 2019 (COVID-19)-related health rumors on Chinese online platforms during the outbreak period of COVID-19in China. Methods: The de...

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Autores principales: Pu, Ge, Jin, Liu, Xiao, Han, Shu-ting, Wei, Xi-zhe, He, Ying, Tang, Xin, Xu, Sheng-yuan, Wang, Ying, Bian, Yibo, Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tabriz University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501483/
https://www.ncbi.nlm.nih.gov/pubmed/34660223
http://dx.doi.org/10.34172/hpp.2021.37
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author Pu, Ge
Jin, Liu
Xiao, Han
Shu-ting, Wei
Xi-zhe, He
Ying, Tang
Xin, Xu
Sheng-yuan, Wang
Ying, Bian
Yibo, Wu
author_facet Pu, Ge
Jin, Liu
Xiao, Han
Shu-ting, Wei
Xi-zhe, He
Ying, Tang
Xin, Xu
Sheng-yuan, Wang
Ying, Bian
Yibo, Wu
author_sort Pu, Ge
collection PubMed
description Background: To adapt the scientific evaluation tool for the confusion evaluation of health rumors and to test this tool to the confusion evaluation of coronavirus disease 2019 (COVID-19)-related health rumors on Chinese online platforms during the outbreak period of COVID-19in China. Methods: The design of our study was systematic evaluation of COVID-19-related health rumors. Retrieved from 7 rumor-repellent platforms, rumors about COVID-19 were collected during the publication from December 1, 2019, to February 6, 2020, and their origins were traced. Researchers evaluated rumors using the confusion evaluation tool in 6 dimensions(creators, evidence selection, evidence evaluation, evidence application, backing and publication platform, conflict of interest). Items were scored using a seven-point Likert scale. The scores were converted into percentages, and the median of rumors from different sources was compared with rank-sum test. Results: Our research included 127 rumors. Scores were converted to percentages, median and interquartile range are used to describe the data. The median score: creators 25.00%(interquartile range, IQR, 16.67-37.50%), evidence selection 27.78% (IQR, 13.89-44.44%),evidence evaluation 33.33% (IQR, 25.00-45.83%), evidence application 36.11% (IQR, 22.22-47.22%), backing and publication platform 8.33% (IQR, 4.17-20.83%), conflict of interest75.00% (IQR, 50.00-83.33%). Almost 40% rumors came from WeChat and the rumors with the lowest scores were concentrated on the WeChat platform. The rumors about prevention methods have relatively lower scores. Conclusion: Most rumors included were not highly confusing for evaluators of this project.WeChat is the "worst-hit area" of COVID-19 related health rumors. More than half rumors focus on the description of prevention methods, which reflects the panic, anxiety and blind conformity of the public under public health emergencies.
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spelling pubmed-85014832021-10-14 Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China Pu, Ge Jin, Liu Xiao, Han Shu-ting, Wei Xi-zhe, He Ying, Tang Xin, Xu Sheng-yuan, Wang Ying, Bian Yibo, Wu Health Promot Perspect Original Article Background: To adapt the scientific evaluation tool for the confusion evaluation of health rumors and to test this tool to the confusion evaluation of coronavirus disease 2019 (COVID-19)-related health rumors on Chinese online platforms during the outbreak period of COVID-19in China. Methods: The design of our study was systematic evaluation of COVID-19-related health rumors. Retrieved from 7 rumor-repellent platforms, rumors about COVID-19 were collected during the publication from December 1, 2019, to February 6, 2020, and their origins were traced. Researchers evaluated rumors using the confusion evaluation tool in 6 dimensions(creators, evidence selection, evidence evaluation, evidence application, backing and publication platform, conflict of interest). Items were scored using a seven-point Likert scale. The scores were converted into percentages, and the median of rumors from different sources was compared with rank-sum test. Results: Our research included 127 rumors. Scores were converted to percentages, median and interquartile range are used to describe the data. The median score: creators 25.00%(interquartile range, IQR, 16.67-37.50%), evidence selection 27.78% (IQR, 13.89-44.44%),evidence evaluation 33.33% (IQR, 25.00-45.83%), evidence application 36.11% (IQR, 22.22-47.22%), backing and publication platform 8.33% (IQR, 4.17-20.83%), conflict of interest75.00% (IQR, 50.00-83.33%). Almost 40% rumors came from WeChat and the rumors with the lowest scores were concentrated on the WeChat platform. The rumors about prevention methods have relatively lower scores. Conclusion: Most rumors included were not highly confusing for evaluators of this project.WeChat is the "worst-hit area" of COVID-19 related health rumors. More than half rumors focus on the description of prevention methods, which reflects the panic, anxiety and blind conformity of the public under public health emergencies. Tabriz University of Medical Sciences 2021-08-18 /pmc/articles/PMC8501483/ /pubmed/34660223 http://dx.doi.org/10.34172/hpp.2021.37 Text en © 2021 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Pu, Ge
Jin, Liu
Xiao, Han
Shu-ting, Wei
Xi-zhe, He
Ying, Tang
Xin, Xu
Sheng-yuan, Wang
Ying, Bian
Yibo, Wu
Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China
title Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China
title_full Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China
title_fullStr Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China
title_full_unstemmed Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China
title_short Systematic evaluation of COVID-19 related Internet health rumors during the breaking out period of COVID-19 in China
title_sort systematic evaluation of covid-19 related internet health rumors during the breaking out period of covid-19 in china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501483/
https://www.ncbi.nlm.nih.gov/pubmed/34660223
http://dx.doi.org/10.34172/hpp.2021.37
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