Research Article
Research on the Dissemination and Evolution of Online Public Opinion on Unconventional Emergencies Based on Social Networks
@INPROCEEDINGS{10.4108/eai.6-1-2023.2330290, author={Mingyu Xu}, title={Research on the Dissemination and Evolution of Online Public Opinion on Unconventional Emergencies Based on Social Networks}, proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China}, publisher={EAI}, proceedings_a={BDEDM}, year={2023}, month={6}, keywords={social networks unconventional emergencies public opinion dissemination d2809}, doi={10.4108/eai.6-1-2023.2330290} }- Mingyu Xu
Year: 2023
Research on the Dissemination and Evolution of Online Public Opinion on Unconventional Emergencies Based on Social Networks
BDEDM
EAI
DOI: 10.4108/eai.6-1-2023.2330290
Abstract
With the advent of the Internet era, online public opinion has become a barometer reflecting social sentiment and public opinion. In the evolution of unconventional emergencies, online public opinion often catalyzes the escalation and spread of the emergencies, and even influences the development trend of public opinion. Taking the "D2809 train disaster" incident as an example, this paper constructs a social network model suitable for analyzing online public opinion on unconventional emergencies in complex systems, and analyses the role of online users in the dissemination of online public opinion, which is more conducive to grasping the evolutionary trends and movements of public opinion. In addition, this paper analyzes the trend of user sentiment evolution in public opinion networks by constructing user sentiment intensity indexes and provides a comprehensive account of sentiment changes in the process and evolution of online public opinion dissemination through visual analysis of user sentiment, to broaden a new theoretical perspective for public opinion research.