Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study
BACKGROUND: Since the coronavirus disease (COVID-19) epidemic in China in December 2019, information and discussions about COVID-19 have spread rapidly on the internet and have quickly become the focus of worldwide attention, especially on social media. OBJECTIVE: This study aims to investigate and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199804/ https://www.ncbi.nlm.nih.gov/pubmed/32314976 http://dx.doi.org/10.2196/18825 |
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author | Zhao, Yuxin Cheng, Sixiang Yu, Xiaoyan Xu, Huilan |
author_facet | Zhao, Yuxin Cheng, Sixiang Yu, Xiaoyan Xu, Huilan |
author_sort | Zhao, Yuxin |
collection | PubMed |
description | BACKGROUND: Since the coronavirus disease (COVID-19) epidemic in China in December 2019, information and discussions about COVID-19 have spread rapidly on the internet and have quickly become the focus of worldwide attention, especially on social media. OBJECTIVE: This study aims to investigate and analyze the public’s attention to events related to COVID-19 in China at the beginning of the COVID-19 epidemic (December 31, 2019, to February 20, 2020) through the Sina Microblog hot search list. METHODS: We collected topics related to the COVID-19 epidemic on the Sina Microblog hot search list from December 31, 2019, to February 20, 2020, and described the trend of public attention on COVID-19 epidemic-related topics. ROST Content Mining System version 6.0 was used to analyze the collected text for word segmentation, word frequency, and sentiment analysis. We further described the hot topic keywords and sentiment trends of public attention. We used VOSviewer to implement a visual cluster analysis of hot keywords and build a social network of public opinion content. RESULTS: The study has four main findings. First, we analyzed the changing trend of the public’s attention to the COVID-19 epidemic, which can be divided into three stages. Second, the hot topic keywords of public attention at each stage were slightly different. Third, the emotional tendency of the public toward the COVID-19 epidemic-related hot topics changed from negative to neutral, with negative emotions weakening and positive emotions increasing as a whole. Fourth, we divided the COVID-19 topics with the most public concern into five categories: the situation of the new cases of COVID-19 and its impact, frontline reporting of the epidemic and the measures of prevention and control, expert interpretation and discussion on the source of infection, medical services on the frontline of the epidemic, and focus on the worldwide epidemic and the search for suspected cases. CONCLUSIONS: Our study found that social media (eg, Sina Microblog) can be used to measure public attention toward public health emergencies. During the epidemic of the novel coronavirus, a large amount of information about the COVID-19 epidemic was disseminated on Sina Microblog and received widespread public attention. We have learned about the hotspots of public concern regarding the COVID-19 epidemic. These findings can help the government and health departments better communicate with the public on health and translate public health needs into practice to create targeted measures to prevent and control the spread of COVID-19. |
format | Online Article Text |
id | pubmed-7199804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-71998042020-05-08 Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study Zhao, Yuxin Cheng, Sixiang Yu, Xiaoyan Xu, Huilan J Med Internet Res Original Paper BACKGROUND: Since the coronavirus disease (COVID-19) epidemic in China in December 2019, information and discussions about COVID-19 have spread rapidly on the internet and have quickly become the focus of worldwide attention, especially on social media. OBJECTIVE: This study aims to investigate and analyze the public’s attention to events related to COVID-19 in China at the beginning of the COVID-19 epidemic (December 31, 2019, to February 20, 2020) through the Sina Microblog hot search list. METHODS: We collected topics related to the COVID-19 epidemic on the Sina Microblog hot search list from December 31, 2019, to February 20, 2020, and described the trend of public attention on COVID-19 epidemic-related topics. ROST Content Mining System version 6.0 was used to analyze the collected text for word segmentation, word frequency, and sentiment analysis. We further described the hot topic keywords and sentiment trends of public attention. We used VOSviewer to implement a visual cluster analysis of hot keywords and build a social network of public opinion content. RESULTS: The study has four main findings. First, we analyzed the changing trend of the public’s attention to the COVID-19 epidemic, which can be divided into three stages. Second, the hot topic keywords of public attention at each stage were slightly different. Third, the emotional tendency of the public toward the COVID-19 epidemic-related hot topics changed from negative to neutral, with negative emotions weakening and positive emotions increasing as a whole. Fourth, we divided the COVID-19 topics with the most public concern into five categories: the situation of the new cases of COVID-19 and its impact, frontline reporting of the epidemic and the measures of prevention and control, expert interpretation and discussion on the source of infection, medical services on the frontline of the epidemic, and focus on the worldwide epidemic and the search for suspected cases. CONCLUSIONS: Our study found that social media (eg, Sina Microblog) can be used to measure public attention toward public health emergencies. During the epidemic of the novel coronavirus, a large amount of information about the COVID-19 epidemic was disseminated on Sina Microblog and received widespread public attention. We have learned about the hotspots of public concern regarding the COVID-19 epidemic. These findings can help the government and health departments better communicate with the public on health and translate public health needs into practice to create targeted measures to prevent and control the spread of COVID-19. JMIR Publications 2020-05-04 /pmc/articles/PMC7199804/ /pubmed/32314976 http://dx.doi.org/10.2196/18825 Text en ©Yuxin Zhao, Sixiang Cheng, Xiaoyan Yu, Huilan Xu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 04.05.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Zhao, Yuxin Cheng, Sixiang Yu, Xiaoyan Xu, Huilan Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study |
title | Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study |
title_full | Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study |
title_fullStr | Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study |
title_full_unstemmed | Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study |
title_short | Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study |
title_sort | chinese public's attention to the covid-19 epidemic on social media: observational descriptive study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199804/ https://www.ncbi.nlm.nih.gov/pubmed/32314976 http://dx.doi.org/10.2196/18825 |
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