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China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data

COVID-19 not only poses a huge threat to public health, but also affects people’s mental health. Take scientific and effective psychological crisis intervention to prevent large-scale negative emotional contagion is an important task for epidemic prevention and control. This paper established a sent...

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Detalles Bibliográficos
Autores principales: Pan, Wei, Wang, Ren-jie, Dai, Wan-qiang, Huang, Ge, Hu, Cheng, Pan, Wu-lin, Liao, Shu-jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456024/
https://www.ncbi.nlm.nih.gov/pubmed/34566790
http://dx.doi.org/10.3389/fpsyg.2021.713597
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author Pan, Wei
Wang, Ren-jie
Dai, Wan-qiang
Huang, Ge
Hu, Cheng
Pan, Wu-lin
Liao, Shu-jie
author_facet Pan, Wei
Wang, Ren-jie
Dai, Wan-qiang
Huang, Ge
Hu, Cheng
Pan, Wu-lin
Liao, Shu-jie
author_sort Pan, Wei
collection PubMed
description COVID-19 not only poses a huge threat to public health, but also affects people’s mental health. Take scientific and effective psychological crisis intervention to prevent large-scale negative emotional contagion is an important task for epidemic prevention and control. This paper established a sentiment classification model to make sentiment annotation (positive and negative) about the 105,536 epidemic comments in 86 days on the official Weibo of People’s Daily, the test results showed that the accuracy of the model reached 88%, and the AUC value was greater than 0.9. Based on the marked data set, we explored the potential law between the changes in Internet public opinion and epidemic situation in China. First of all, we found that most of the Weibo users showed positive emotions, and the negative emotions were mainly caused by the fear and concern about the epidemic itself and the doubts about the work of the government. Secondly, there is a strong correlation between the changes of epidemic situation and people’s emotion. Also, we divided the epidemic into three period. The proportion of people’s negative emotions showed a similar trend with the number of newly confirmed cases in the growth and decay period, and the extinction period. In addition, we also found that women have more positive emotional performance than men, and the high-impact groups is also more positive than the low-impact groups. We hope that these conclusions can help China and other countries experiencing severe epidemics to guide publics respond.
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spelling pubmed-84560242021-09-23 China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data Pan, Wei Wang, Ren-jie Dai, Wan-qiang Huang, Ge Hu, Cheng Pan, Wu-lin Liao, Shu-jie Front Psychol Psychology COVID-19 not only poses a huge threat to public health, but also affects people’s mental health. Take scientific and effective psychological crisis intervention to prevent large-scale negative emotional contagion is an important task for epidemic prevention and control. This paper established a sentiment classification model to make sentiment annotation (positive and negative) about the 105,536 epidemic comments in 86 days on the official Weibo of People’s Daily, the test results showed that the accuracy of the model reached 88%, and the AUC value was greater than 0.9. Based on the marked data set, we explored the potential law between the changes in Internet public opinion and epidemic situation in China. First of all, we found that most of the Weibo users showed positive emotions, and the negative emotions were mainly caused by the fear and concern about the epidemic itself and the doubts about the work of the government. Secondly, there is a strong correlation between the changes of epidemic situation and people’s emotion. Also, we divided the epidemic into three period. The proportion of people’s negative emotions showed a similar trend with the number of newly confirmed cases in the growth and decay period, and the extinction period. In addition, we also found that women have more positive emotional performance than men, and the high-impact groups is also more positive than the low-impact groups. We hope that these conclusions can help China and other countries experiencing severe epidemics to guide publics respond. Frontiers Media S.A. 2021-09-08 /pmc/articles/PMC8456024/ /pubmed/34566790 http://dx.doi.org/10.3389/fpsyg.2021.713597 Text en Copyright © 2021 Pan, Wang, Dai, Huang, Hu, Pan and Liao. 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 Psychology
Pan, Wei
Wang, Ren-jie
Dai, Wan-qiang
Huang, Ge
Hu, Cheng
Pan, Wu-lin
Liao, Shu-jie
China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data
title China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data
title_full China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data
title_fullStr China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data
title_full_unstemmed China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data
title_short China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data
title_sort china public psychology analysis about covid-19 under considering sina weibo data
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456024/
https://www.ncbi.nlm.nih.gov/pubmed/34566790
http://dx.doi.org/10.3389/fpsyg.2021.713597
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