| Issue |
SHS Web Conf.
Volume 179, 2023
2023 6th International Conference on Humanities Education and Social Sciences (ICHESS 2023)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 4 | |
| Section | Social Media and Online Education Research | |
| DOI | https://doi.org/10.1051/shsconf/202317903004 | |
| Published online | 14 December 2023 | |
Analyzing Emergency News Comments to Assess Online Public Opinions: A Case Study of COVID-19
School of Economics and Management, Nanjing University of Science and Technology, 210094 Nanjing, China
*a Corresponding author: tosunny452@163.com
For the purpose of enhancing the online public opinion intervention mechanism, fostering a positive public opinion environment, it is crucial to examine the rules and traits of online public opinion dissemination from multiple perspectives. The paper proposes a fresh approach to measuring network public opinion by analyzing emergency news comments. In order to develop risk assessment indicators, we first employ the multi-round Delphi method. Then, we organize the "COVID-19" news comments using natural language processing and text clustering techniques, correlating the risk assessment indicators with the risk evolution of emergency events. Finally, we analyze the time evolution trend of users’ participation in network public opinion. Results show that the use of news commentary can effectively predict the tendency of social risk. Therefore, the risk assessment method in this paper can judge and warn the network public opinion in time, which is of great value in assisting major emergency management decisions.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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