Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach

To enhance emergency management and public opinion governance, improve the accuracy of forecasting group emotional responses, and elucidate the complex pathways of multi-factor coupling in the formation of group emotions, this study constructs a theoretical framework grounded in the social combustio...

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Main Authors: Xiaohan Yan, Yi Liu, Yan Chen, Tiezhong Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Behavioral Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-328X/15/1/41
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author Xiaohan Yan
Yi Liu
Yan Chen
Tiezhong Liu
author_facet Xiaohan Yan
Yi Liu
Yan Chen
Tiezhong Liu
author_sort Xiaohan Yan
collection DOAJ
description To enhance emergency management and public opinion governance, improve the accuracy of forecasting group emotional responses, and elucidate the complex pathways of multi-factor coupling in the formation of group emotions, this study constructs a theoretical framework grounded in the social combustion theory. Through web scraping and text sentiment analysis, group emotional tendencies were measured in 40 public emergency cases from the past five years. Using the fuzzy-set qualitative comparative analysis (fsQCA) method, the study explored the coupling, configuration effect, and formation pathways of factors such as “burning substance”, “accelerant”, and “ignition” in the emergence of group emotions. The results reveal significant differences in the generation pathways of positive versus negative group emotion. Inter-group threat as a “burning substance” is more likely to trigger negative group emotion, while “accelerant” plays a pivotal role in shaping and guiding emotional responses. Notably, the government’s response speed is critical for fostering positive emotions, whereas the emergence of rumors significantly contributes to the spread of negative group emotions. Additionally, the occurrence of stimulating events markedly increases the generation of negative group emotions. This study provides an important theoretical foundation and practical insights for the management and regulation of group emotions.
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spelling doaj-art-4a067dcf461448ca99d4bce4a295f9bf2025-01-24T13:22:42ZengMDPI AGBehavioral Sciences2076-328X2025-01-011514110.3390/bs15010041Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling ApproachXiaohan Yan0Yi Liu1Yan Chen2Tiezhong Liu3School of Management, Beijing Institute of Technology, 5 Zhongguancun South Street, Beijing 100080, ChinaSchool of Management, Beijing Institute of Technology, 5 Zhongguancun South Street, Beijing 100080, ChinaSchool of Management, Beijing Institute of Technology, 5 Zhongguancun South Street, Beijing 100080, ChinaSchool of Management, Beijing Institute of Technology, 5 Zhongguancun South Street, Beijing 100080, ChinaTo enhance emergency management and public opinion governance, improve the accuracy of forecasting group emotional responses, and elucidate the complex pathways of multi-factor coupling in the formation of group emotions, this study constructs a theoretical framework grounded in the social combustion theory. Through web scraping and text sentiment analysis, group emotional tendencies were measured in 40 public emergency cases from the past five years. Using the fuzzy-set qualitative comparative analysis (fsQCA) method, the study explored the coupling, configuration effect, and formation pathways of factors such as “burning substance”, “accelerant”, and “ignition” in the emergence of group emotions. The results reveal significant differences in the generation pathways of positive versus negative group emotion. Inter-group threat as a “burning substance” is more likely to trigger negative group emotion, while “accelerant” plays a pivotal role in shaping and guiding emotional responses. Notably, the government’s response speed is critical for fostering positive emotions, whereas the emergence of rumors significantly contributes to the spread of negative group emotions. Additionally, the occurrence of stimulating events markedly increases the generation of negative group emotions. This study provides an important theoretical foundation and practical insights for the management and regulation of group emotions.https://www.mdpi.com/2076-328X/15/1/41group emotionsocial combustion theoryfuzzy-set qualitative comparative analysisgeneration pathwaysmulti-factor coupling
spellingShingle Xiaohan Yan
Yi Liu
Yan Chen
Tiezhong Liu
Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach
Behavioral Sciences
group emotion
social combustion theory
fuzzy-set qualitative comparative analysis
generation pathways
multi-factor coupling
title Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach
title_full Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach
title_fullStr Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach
title_full_unstemmed Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach
title_short Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach
title_sort analyzing antecedent configurations of group emotion generation in public emergencies a multi factor coupling approach
topic group emotion
social combustion theory
fuzzy-set qualitative comparative analysis
generation pathways
multi-factor coupling
url https://www.mdpi.com/2076-328X/15/1/41
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AT yiliu analyzingantecedentconfigurationsofgroupemotiongenerationinpublicemergenciesamultifactorcouplingapproach
AT yanchen analyzingantecedentconfigurationsofgroupemotiongenerationinpublicemergenciesamultifactorcouplingapproach
AT tiezhongliu analyzingantecedentconfigurationsofgroupemotiongenerationinpublicemergenciesamultifactorcouplingapproach