Evidence map›Paper›PMID 40001807›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Investigating the Influencing Factors and Correlation Between Popularity and Emotion of Public Opinion During Disasters: Evidence from the "7.20" Rainstorm in China.

Anying Chen, Yixuan Liu, Yanlin Huang, Guofeng Su, Dinghuan Yuan

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Anying ChenSchool of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China.
Yixuan LiuSchool of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China.
Yanlin HuangSchool of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China.
Guofeng SuInstitute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China.ORCID 0000-0003-0795-7676
Dinghuan YuanSchool of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-7474-4964

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515110347Fundamental Research Funds for the Central Universities 23JNQN09Guangdong Office of Philosophy and Social Science GD23YGL36National Natural Science Foundation of China 72104090National Natural Science Foundation of China 72404104Yangcheng Youth Scholar Project of Philosophy and Social Science Planning of Guangzhou 2023GZQN18
6 · The paper itself

Abstract

Disasters not only directly cause casualties and property losses but also significantly impact public opinion. In order to identify the evolution characteristics and influencing factors of public opinion during disasters, this paper put forward an analytical framework for analyzing public opinion, which clarified the relationships among key characteristics of public opinion and emphasized the role of official agencies in the processes of information releasing and information feedback. Guided by this framework, this paper collected the public opinion on Sina Weibo during the extraordinary "7.20" rainstorm in Henan Province, China. By analyzing the changes in the discussion regarding both the popularity of and the emotion displayed in Sina Weibo comments over time, it was found that the evolution of public opinion was closely related to disaster development. Novel informational content or innovative forms of information contribute to enhancing the discussion of popularity, while the events or emotions expressed within the information elicit corresponding emotional responses from the public. As popularity increased, the prevalence of negative emotions was observed to diminish concurrently with a rise in the proportion of neutral emotions. Based on these results, some suggestions on the management of public opinion during disasters were put forward.

Indexed as

case studydisastersonline social networkspublic opinion

Identifiers

PMID40001807
PMCPMC11851718

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.