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How Does Risk-Information Communication Affect the Rebound of Online Public Opinion of Public Emergencies in China?

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  • Shan Gao

    (School of Public Administration, Central South University, Changsha 410083, China
    School of Economic Management and Law, University of South China, Hengyang 421001, China)

  • Ye Zhang

    (School of Public Administration, Central South University, Changsha 410083, China)

  • Wenhui Liu

    (School of Public Administration, Central South University, Changsha 410083, China)

Abstract

The rebound of online public opinion is an important driving force in inducing a secondary crisis in the case of public emergencies. Effective risk-information communication is an important means to manage online public opinion regarding emergencies. This paper employs fuzzy-set qualitative comparative analysis to discover which conditions are combined and may result in the rebound of online public opinion. Five conditions were selected: the type of public emergency, messengers, message attributes, audience, and information feedback. The study used a sample of 25 major public emergencies that occurred between 2015 and 2020 in China. The type of public emergency, audience, and information feedback emerged as critical influencing factors. Message attributes promote the rebound of online public opinion regarding public health emergencies, while messengers play a traction role in the rebound of online public opinion on other types of public emergencies. This study extends risk-information communication theory from the perspective of the type of emergency, explores the causes of rebounded online public opinion regarding public emergencies, and provides policies and suggestions for risk-information communication and online public-opinion governance during emergencies.

Suggested Citation

  • Shan Gao & Ye Zhang & Wenhui Liu, 2021. "How Does Risk-Information Communication Affect the Rebound of Online Public Opinion of Public Emergencies in China?," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7760-:d:599006
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    1. Blair, Robert A. & Morse, Benjamin S. & Tsai, Lily L., 2017. "Public health and public trust: Survey evidence from the Ebola Virus Disease epidemic in Liberia," Social Science & Medicine, Elsevier, vol. 172(C), pages 89-97.
    2. Ana Reyes-Menendez & José Ramón Saura & Cesar Alvarez-Alonso, 2018. "Understanding #WorldEnvironmentDay User Opinions in Twitter: A Topic-Based Sentiment Analysis Approach," IJERPH, MDPI, vol. 15(11), pages 1-18, November.
    3. Zhiying Wang & Xiaodi Liu & Shitao Zhang, 2019. "A New Decision Method for Public Opinion Crisis with the Intervention of Risk Perception of the Public," Complexity, Hindawi, vol. 2019, pages 1-14, July.
    4. Ragnar Löfstedt & Dominic Way & Frederic Bouder & Darrick Evensen, 2016. "Transparency of medicines data and safety issues–a European/US study of doctors’ opinions: what does the evidence show?," Journal of Risk Research, Taylor & Francis Journals, vol. 19(9), pages 1172-1184, October.
    5. Ana Reyes-Menendez & Jose Ramon Saura & Pedro Palos-Sanchez, 2020. "Identifying key performance indicators for marketing strategies in mobile applications: a systematic literature review," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 11(3), pages 259-277.
    6. Shuolin Geng & Qi Zhou & Mingjie Li & Dianxing Song & Yanjun Wen, 2021. "Spatial–temporal differences in disaster perception and response among new media users and the influence factors: a case study of the Shouguang Flood in Shandong province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 2241-2262, January.
    7. William J. Burns & Ellen Peters & Paul Slovic, 2012. "Risk Perception and the Economic Crisis: A Longitudinal Study of the Trajectory of Perceived Risk," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 659-677, April.
    8. Cho, Youngsang & Hwang, Junseok & Lee, Daeho, 2012. "Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 97-106.
    9. Ming‐Chou Ho & Daigee Shaw & Shuyeu Lin & Yao‐Chu Chiu, 2008. "How Do Disaster Characteristics Influence Risk Perception?," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 635-643, June.
    10. Baruch Fischhoff & Gabrielle Wong‐Parodi & Dana Rose Garfin & E. Alison Holman & Roxane Cohen Silver, 2018. "Public Understanding of Ebola Risks: Mastering an Unfamiliar Threat," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 71-83, January.
    11. Zhu, Hou & Hu, Bin, 2018. "Impact of information on public opinion reversal—An agent based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 578-587.
    12. Jiang, Guoyin & Li, Saipeng & Li, Minglei, 2020. "Dynamic rumor spreading of public opinion reversal on Weibo based on a two-stage SPNR model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    13. Liu, Qiming & Li, Tao & Sun, Meici, 2017. "The analysis of an SEIR rumor propagation model on heterogeneous network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 372-380.
    14. Craig W. Trumbo & Katherine A. McComas, 2003. "The Function of Credibility in Information Processing for Risk Perception," Risk Analysis, John Wiley & Sons, vol. 23(2), pages 343-353, April.
    15. Lan, Yuexin & Lian, Zhixuan & Zeng, Runxi & Zhu, Di & Xia, Yixue & Liu, Mo & Zhang, Peng, 2020. "A statistical model of the impact of online rumors on the information quantity of online public opinion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    16. Michael Siegrist & Joseph Árvai, 2020. "Risk Perception: Reflections on 40 Years of Research," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2191-2206, November.
    17. Xuehua Han & Juanle Wang & Min Zhang & Xiaojie Wang, 2020. "Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China," IJERPH, MDPI, vol. 17(8), pages 1-22, April.
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    Cited by:

    1. Chao Zhang & Ning Ma & Guohui Sun, 2022. "Using Grounded Theory to Identify Online Public Opinion in China to Improve Risk Management—The Case of COVID-19," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    2. Yu Lei & Guirong Zhang & Shan Lu & Jiahuan Qian, 2022. "Generation Paths of Major Road Accidents Based on Fuzzy-Set Qualitative Comparative Analysis," IJERPH, MDPI, vol. 19(21), pages 1-15, October.

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