Research Article
Risk Identification of Internet Public Opinion on Social Media in Public Crisis Events Based on the Five-stage Perception State - A Brief Analysis on the Impact of Emotional Characteristics on the Risk Identification of Online Public Opinion
@INPROCEEDINGS{10.4108/eai.23-2-2024.2345911, author={Zhiyuan Sun and Anwen Pan}, title={Risk Identification of Internet Public Opinion on Social Media in Public Crisis Events Based on the Five-stage Perception State - A Brief Analysis on the Impact of Emotional Characteristics on the Risk Identification of Online Public Opinion}, proceedings={Proceedings of the 4th International Conference on Informatization Economic Development and Management, IEDM 2024, February 23--25, 2024, Kuala Lumpur, Malaysia}, publisher={EAI}, proceedings_a={IEDM}, year={2024}, month={5}, keywords={online public opinion big data application big data search and information retrieval technology}, doi={10.4108/eai.23-2-2024.2345911} }- Zhiyuan Sun
Anwen Pan
Year: 2024
Risk Identification of Internet Public Opinion on Social Media in Public Crisis Events Based on the Five-stage Perception State - A Brief Analysis on the Impact of Emotional Characteristics on the Risk Identification of Online Public Opinion
IEDM
EAI
DOI: 10.4108/eai.23-2-2024.2345911
Abstract
It was proposed during the 20th National Congress of the Communist Party of China that it was necessary to improve the public opinion supervision system and improve the public opinion guidance mechanism for major public opinions and emergencies. This paper focuses on public crisis events. In consideratino of the characteristics of viral spread, emotional spread, and mixed spread of online public opinion in public crisis events, and the government’s governance of public crisis events, where time pressure is extremely high, uncertainty risks are great, and risk causes are complex, it is of great importance to build an accurate identification system for public opinion risks on social media network in public crisis events. This paper carried out theme crawlers on multiple mainstream social platforms.
