Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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Analysis and research on the evolution of public opinion emotion based on the theory of social combustion

Authors
Kexin Zhang1, *, Jianhua Dai1
1School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094, China
*Corresponding author. Email: 651552122@qq.com
Corresponding Author
Kexin Zhang
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_4How to use a DOI?
Keywords
Social combustion theory; Network public opinion; Theme evolution; Emotional evolution
Abstract

In the new media era, the emotions of netizens have an important impact on the trend of online public opinion. Therefore, taking “China Eastern Airlines MU5735 crash incident” as an example, keywords in each stage of public opinion life cycle were extracted, keyword co-occurrence network was constructed, and theme communities were detected. Then, the similarity between topics is calculated, and the threshold is set to judge whether there is a theme evolution relationship. Finally, for the topic community with theme evolution relationship, we explore the process of emotion evolution of Internet users from the perspective of social combustion theory. Through the analysis, we dug out the emotional evolution trend of Internet users’ attention content and themes with evolutionary relationship at each stage of the life cycle. By analyzing the reasons for the emotional evolution of Internet users during the evolution of online public opinion events, we proposed relevant emotional guidance measures, which are of great significance to prevent the emotional polarization of Internet users.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_4How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kexin Zhang
AU  - Jianhua Dai
PY  - 2023
DA  - 2023/10/27
TI  - Analysis and research on the evolution of public opinion emotion based on the theory of social combustion
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 27
EP  - 35
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_4
DO  - 10.2991/978-94-6463-276-7_4
ID  - Zhang2023
ER  -