Author:
Gao Shan,Zhang Ye,Liu Wenhui
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.
Funder
National Natural Science Foundation of China
Hunan Provincial Science and Technology Department
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference64 articles.
1. Empirical research on modeling of online public opinion propagation in a mobile environment: An example focusing on the topic of “Ebola”;Wang;J. China Soc. Sci. Tech. Inf.,2015
2. Microblogging topic evolution pattern and timing trends of public health emergencies: Taking Ebola microblogging on Twitter and Weibo for example;Chuanming;Inf. Doc. Serv.,2016
3. Study on Network Public Opinion Dissemination and Coping Strategies in Large Fire Disasters
4. Evolution of online public opinion during meteorological disasters
5. Impact of information on public opinion reversal—An agent based model
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