Evidence map›Paper›PMID 32314976›Full record

ArticleJournal of medical Internet research2020

Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study.

Yuxin Zhao, Sixiang Cheng, Xiaoyan Yu, Huilan Xu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

141 citing papers in PubMed.

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81 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuxin ZhaoDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-7924-2165
Sixiang ChengDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-3379-4818
Xiaoyan YuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7296-1498
Huilan XuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0003-4845-2252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 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.

objectiveThis 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.

methodsWe 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.

resultsThe 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.

conclusionsOur 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.

Indexed as

AttentionHealth EducationPublic OpinionChinaCoronavirus InfectionsCOVID-19EmotionsHumansPandemicsPneumonia, ViralPublic HealthSocial MediaChinaCOVID-19infodemicpublic attentionpublic health emergencySina Microblogsocial media

Identifiers

PMID32314976
PMCPMC7199804

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.