Analysis of network public opinion on COVID-19 epidemic based on the WSR theory

被引:5
|
作者
Yang, Kun [1 ]
Zhu, Junqi [1 ]
Yang, Li [1 ]
Lin, Yu [1 ]
Huang, Xin [1 ]
Li, YunPeng [1 ]
机构
[1] Anhui Univ Sci & Technol, Sch Econ & Management, Huainan, Anhui, Peoples R China
关键词
network public opinion; grounded theory; WSR methodology; COVID-19; qualitative analysis; MODEL; MANAGEMENT;
D O I
10.3389/fpubh.2022.1104031
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
ObjectiveTo obtain the influencing factors of public opinion reactions and to construct a basic framework of the factors causing the occurrence of online public opinion in the epidemic area. MethodsThe hot news comments on microblogs during the epidemic in Shanghai were collected and analyzed with qualitative analysis, grounded theory, and the "Wuli-Shili-Renli" (WSR) methodology as an auxiliary method. Results(1) Three core categories of the Wuli system, the Shili system, and the Renli system, 15 main categories, and 86 categories that influence the development of network public opinion are obtained. (2) WSR Elements Framework Of Network Public Opinion (WSR-EFONPO) is established. (3) The WSR-EFONPO is explained. ConclusionThe framework of factors for the occurrence of network public opinion is proposed, and the development process of network public opinion under COVID-19 is sorted out, which is of great theoretical value in guiding the public in the epidemic area to form reasonable behavior.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] COVID-19 Epidemic and Public Health Measures in China
    Xu, Tingting
    Yang, Ruoyu
    [J]. JOURNAL OF EPIDEMIOLOGY AND GLOBAL HEALTH, 2020, 10 (02) : 118 - 123
  • [32] Chinese Public Diplomacy and European Public Opinion during COVID-19
    Jerden, Bjorn
    Ruhlig, Tim
    Seaman, John
    Turcsanyi, Richard Q.
    [J]. CHINA REVIEW-AN INTERDISCIPLINARY JOURNAL ON GREATER CHINA, 2021, 21 (02): : 5 - 33
  • [33] Topic Analysis of Public Welfare Microblogs in the Early Period of the COVID-19 Epidemic Based on LDA Model
    Li, Ji
    Liang, Yujun
    [J]. INTELLIGENT COMPUTING METHODOLOGIES, PT III, 2022, 13395 : 315 - 328
  • [34] Covid-19, Public Policy, and Public Choice Theory
    Karadimas, Panagiotis
    [J]. INDEPENDENT REVIEW, 2022, 27 (02): : 273 - 302
  • [35] Spatio-temporal evolution and regional differences of the public opinion on the prevention and control of COVID-19 epidemic in China
    Wang, Juanle
    Zhang, Min
    Han, Xuehua
    Wang, Xiaojie
    Zheng, Li
    [J]. Dili Xuebao/Acta Geographica Sinica, 2020, 75 (11): : 2490 - 2504
  • [36] The COVID-19 epidemic
    Velavan, Thirumalaisamy P.
    Meyer, Christian G.
    [J]. TROPICAL MEDICINE & INTERNATIONAL HEALTH, 2020, 25 (03) : 278 - 280
  • [37] A Study on Epidemic Information Screening, Prevention and Control of Public Opinion Based on Health and Medical Big Data: A Case Study of COVID-19
    Li, Jinhai
    Ma, Yunlei
    Xu, Xinglong
    Pei, Jiaming
    He, Youshi
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (16)
  • [38] Analysis of a COVID-19 Epidemic Model with Seasonality
    Zhimin Li
    Tailei Zhang
    [J]. Bulletin of Mathematical Biology, 2022, 84
  • [39] Early analysis of the Australian COVID-19 epidemic
    Price, David J.
    Shearer, Freya M.
    Meehan, Michael T.
    McBryde, Emma
    Moss, Robert
    Golding, Nick
    Conway, Eamon J.
    Dawson, Peter
    Cromer, Deborah
    Wood, James
    Abbott, Sam
    McVernon, Jodie
    McCaw, James M.
    [J]. ELIFE, 2020, 9
  • [40] Epidemiological Analysis of the Covid-19 Epidemic in Greece
    Zimeras, Stelios
    Chardalias, Konstantinos
    Diomidous, Marianna
    [J]. IMPORTANCE OF HEALTH INFORMATICS IN PUBLIC HEALTH DURING A PANDEMIC, 2020, 272 : 21 - 23