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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tabriz University of Medical Sciences
2021
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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. |
format | Online Article Text |
id | pubmed-8501483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Tabriz University of Medical Sciences |
record_format | MEDLINE/PubMed |
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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