Literature DB >> 34360053

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

Shan Gao1,2, Ye Zhang1, Wenhui Liu1.   

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.

Entities:  

Keywords:  fsQCA; public emergencies; public health emergencies; rebound of online public opinion; risk-information communication

Year:  2021        PMID: 34360053     DOI: 10.3390/ijerph18157760

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  2 in total

1.  Modeling and simulation of microblog-based public health emergency-associated public opinion communication.

Authors:  Jinghua Zhao; Huihong He; Xiaohua Zhao; Jie Lin
Journal:  Inf Process Manag       Date:  2021-12-16       Impact factor: 6.222

2.  Exploring time evolution characteristics of the collaborative mode in emergency information release of public health emergencies: A network analysis of response to COVID-19 from the central government of China.

Authors:  Jida Liu; Yuwei Song; Shi An; Changqi Dong; Chenxi Lian
Journal:  Front Public Health       Date:  2022-08-29
  2 in total

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