How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study

doi:10.1016/j.techsoc.2022.102113

CSpace

	How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study
	Liu, Liyi 1; Tu, Yan 1; Zhou, Xiaoyang 2,3
	2022-11-01
发表期刊	TECHNOLOGY IN SOCIETY
ISSN	0160-791X
卷号	71 页码:16
摘要	Motivated by the realistic demand of controlling the Internet public opinion risk caused by the local outbreak of COVID-19, this paper creatively proposes a COVID-19 local outbreak Internet public opinion risk grading research framework. The SMAA-FAHPSort II method combining Analytic Hierarchy Process Sort II (AHPSort II) method with Stochastic Multicriteria Acceptability Analysis (SMAA-2) method is introduced into this framework, to evaluate the Internet public opinion risk level of social media during the local outbreak of COVID-19. In addition, this framework is applied to a case of Internet public opinion risk evaluation on Microblog platform of China. According to the number of new cases per day in mainland China, this paper divides the period from May 7, 2020 to September 3, 2021 into seven stages. A total of more than 10,000 Microblog hot topics were collected, after screening and preprocessing, 5422 related topics are remained to help complete the Internet public opinion risk evaluation. The case study analysis results show that the number of days classified as moderate risk and above has reached more than 280. This proves that the local outbreak of COVID-19 will indeed increase the risk of Internet public opinion, and correlation analysis confirms that the level of public opinion risk is positively correlated with the severity of the epidemic in the real world. Furthermore, the effectiveness and advantages of the proposed method are verified by comparative analysis and sensitivity analysis. Finally, some effective public opinion management suggestions have been put forward. This paper can provide reference for the government to formulate or improve relevant strategies, and also has great significance for reducing the risk of Internet public opinion in social media.
关键词	Internet public opinion Risk grading Local outbreak COVID-19 MCDM A SMAA-FAHPSort II
DOI	10.1016/j.techsoc.2022.102113
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[71801177] ; Humanities and Social Science Fund of Ministry of Education of China[18YJC630163]
WOS研究方向	Social Issues ; Social Sciences - Other Topics
WOS类目	Social Issues ; Social Sciences, Interdisciplinary
WOS记录号	WOS:000858994900002
出版者	ELSEVIER SCI LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/60948
专题	中国科学院数学与系统科学研究院
通讯作者	Tu, Yan
作者单位	1.Wuhan Univ Technol, Sch Safety Sci & Emergency Management, Wuhan 430070, Peoples R China 2.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Liu, Liyi,Tu, Yan,Zhou, Xiaoyang. How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study[J]. TECHNOLOGY IN SOCIETY,2022,71:16.
APA	Liu, Liyi,Tu, Yan,&Zhou, Xiaoyang.(2022).How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study.TECHNOLOGY IN SOCIETY,71,16.
MLA	Liu, Liyi,et al."How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study".TECHNOLOGY IN SOCIETY 71(2022):16.