中文版 | English
Title

Analysis of public information demand during the COVID-19 pandemic based on four-stage crisis model

Author
Corresponding AuthorLi,Jingzhi; Liu,Siyu
Publication Years
2022-07-25
DOI
Source Title
ISSN
2296-424X
EISSN
2296-424X
Volume10
Abstract
At the end of 2019, the outbreak of the Corona Virus Disease 2019 (COVID-19) became a grave global public health emergency. At that time, there was a lack of information about this virus. Nowadays, social media has become the main source for the public to obtain information, especially during the COVID-19 pandemic. Therefore, in order to know about the public of information demand after the outbreak, the research collects the data of hot search on Sina-microblog from 1 January 2020 to 30 December 2020, and then conducts data mining by combining text processing with topic models. Then we show the topics mined in the knowledge map. The results show that with the outbreak of the COVID-19, people’s attention to the topics related to the epidemic reaches the maximum in a short time, and then decreases with fluctuation, but does not disappear immediately. Some topics fluctuate violently due to the emergence of special events. The results conformed to the four-stage crisis model in the emergency management. We analyze the role of social media in four stages for this. The findings of this study could help the government and emergency agencies to better understand the main aspects, which the public’s concern about COVID-19, and accelerate public opinion guidance and emotional reassurance.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Corresponding
Funding Project
National Natural Science Foundation of China[11901234] ; JLU[93K172020K27] ; Natural Science Foundation of Jilin Province[20210101481JC] ; Shanghai Municipal Science and Tenchnology Major Project[2021SHZDZX0103] ; Guangdong NSF Major Fund[2021ZDZX1001] ; Shenzhen Sci-Tech Fund["RCJC20200714114556020","JCYJ20200109115422828","JCYJ20190809150413261"]
WOS Research Area
Physics
WOS Subject
Physics, Multidisciplinary
WOS Accession No
WOS:000847366200001
Publisher
Scopus EID
2-s2.0-85136189272
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/395591
DepartmentDepartment of Mathematics
Affiliation
1.Department of Computational Mathematics,School of Mathematics,Jilin University,Changchun,China
2.Jilin National Applied Mathematical Center,Jilin University,Changchun,China
3.Department of Mathematics,Southern University of Science and Technology,Shenzhen,Guangdong,China
4.Department of Epidemiology and Biostatistics,School of Public Health,Jilin University,Changchun,China
Corresponding Author AffilicationDepartment of Mathematics
Recommended Citation
GB/T 7714
Fang,Yabo,Jia,Jiwei,Li,Jingzhi,et al. Analysis of public information demand during the COVID-19 pandemic based on four-stage crisis model[J]. Frontiers in Physics,2022,10.
APA
Fang,Yabo,Jia,Jiwei,Li,Jingzhi,&Liu,Siyu.(2022).Analysis of public information demand during the COVID-19 pandemic based on four-stage crisis model.Frontiers in Physics,10.
MLA
Fang,Yabo,et al."Analysis of public information demand during the COVID-19 pandemic based on four-stage crisis model".Frontiers in Physics 10(2022).
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Fang,Yabo]'s Articles
[Jia,Jiwei]'s Articles
[Li,Jingzhi]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Fang,Yabo]'s Articles
[Jia,Jiwei]'s Articles
[Li,Jingzhi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Fang,Yabo]'s Articles
[Jia,Jiwei]'s Articles
[Li,Jingzhi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.