Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platforms
IntroductionThe convergence of information technology and the Internet has deeply embedded the media in social life. On different social media platforms, emotion contagion is combined with information dissemination, presenting weak information and strong emotion. In the process of information dissem...
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Communication |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcomm.2025.1582974/full |
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| author | Hejie Chen Jiamin Jin Steven Sun Chuyi Zhang Minshan Yu |
| author_facet | Hejie Chen Jiamin Jin Steven Sun Chuyi Zhang Minshan Yu |
| author_sort | Hejie Chen |
| collection | DOAJ |
| description | IntroductionThe convergence of information technology and the Internet has deeply embedded the media in social life. On different social media platforms, emotion contagion is combined with information dissemination, presenting weak information and strong emotion. In the process of information dissemination, emotion becomes the driving force. This study takes the case of biological parents searching for their abducted son to study the emotional evolution and information dissemination characteristics of hot events in four common social media platforms. Based on the Susceptible-Exposed-Infectious-Recovered (SEIR) model, the exposed is divided into potential positive emotion spreaders, potential negative emotion spreaders, and potential neutral emotion spreaders in this paper. Then, the S3EIR model is constructed based on the path of netizens’ emotional contagion. In order to verify the validity and applicability of the S3EIR model, this paper constructs a dynamical model.MethodsIt uses Python to crawl the comments of the family-seeking event on the four social platforms and uses simulation to simulate and verify the dynamic process of emotional contagion and information dissemination.Results and discussionThe results show that the S3EIR model is feasible and effective in simulating emotional contagion and information flow in social media. The content posted by key opinion leaders on platforms and the emotional atmosphere created in their comment areas significantly impact on the emotional state of netizens. The change in netizens’ emotions is affected by factors such as the characteristics of social media platforms, their user groups, and the functions of the platforms. The model also simulates and verifies the dynamic process of emotion spreading and information diffusion. |
| format | Article |
| id | doaj-art-9fb2d6e9a5b64e9b8e9e9b9ad55fe3ad |
| institution | Matheson Library |
| issn | 2297-900X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Communication |
| spelling | doaj-art-9fb2d6e9a5b64e9b8e9e9b9ad55fe3ad2025-07-22T11:04:06ZengFrontiers Media S.A.Frontiers in Communication2297-900X2025-07-011010.3389/fcomm.2025.15829741582974Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platformsHejie Chen0Jiamin Jin1Steven Sun2Chuyi Zhang3Minshan Yu4School of Economics and Management, Beijing Institute of Graphic Communication, Beijing, ChinaSchool of Film and Television Production, Zhejiang Hengdian College of Film & Television, Zhejiang, ChinaDepartment of Management of Complex Systems, University of California Merced, Merced, CA, United StatesSchool of Economics and Management, Beijing Institute of Graphic Communication, Beijing, ChinaSchool of Economics and Management, Beijing Institute of Graphic Communication, Beijing, ChinaIntroductionThe convergence of information technology and the Internet has deeply embedded the media in social life. On different social media platforms, emotion contagion is combined with information dissemination, presenting weak information and strong emotion. In the process of information dissemination, emotion becomes the driving force. This study takes the case of biological parents searching for their abducted son to study the emotional evolution and information dissemination characteristics of hot events in four common social media platforms. Based on the Susceptible-Exposed-Infectious-Recovered (SEIR) model, the exposed is divided into potential positive emotion spreaders, potential negative emotion spreaders, and potential neutral emotion spreaders in this paper. Then, the S3EIR model is constructed based on the path of netizens’ emotional contagion. In order to verify the validity and applicability of the S3EIR model, this paper constructs a dynamical model.MethodsIt uses Python to crawl the comments of the family-seeking event on the four social platforms and uses simulation to simulate and verify the dynamic process of emotional contagion and information dissemination.Results and discussionThe results show that the S3EIR model is feasible and effective in simulating emotional contagion and information flow in social media. The content posted by key opinion leaders on platforms and the emotional atmosphere created in their comment areas significantly impact on the emotional state of netizens. The change in netizens’ emotions is affected by factors such as the characteristics of social media platforms, their user groups, and the functions of the platforms. The model also simulates and verifies the dynamic process of emotion spreading and information diffusion.https://www.frontiersin.org/articles/10.3389/fcomm.2025.1582974/fullS3EIR modelemotional contagionpropagation dynamicsinformation disseminationsocial media platformsentiment analysis |
| spellingShingle | Hejie Chen Jiamin Jin Steven Sun Chuyi Zhang Minshan Yu Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platforms Frontiers in Communication S3EIR model emotional contagion propagation dynamics information dissemination social media platform sentiment analysis |
| title | Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platforms |
| title_full | Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platforms |
| title_fullStr | Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platforms |
| title_full_unstemmed | Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platforms |
| title_short | Research on propagation dynamics of emotional contagion using S3EIR model based on multiple social media platforms |
| title_sort | research on propagation dynamics of emotional contagion using s3eir model based on multiple social media platforms |
| topic | S3EIR model emotional contagion propagation dynamics information dissemination social media platform sentiment analysis |
| url | https://www.frontiersin.org/articles/10.3389/fcomm.2025.1582974/full |
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