Social Work

Online public opinion during the first epidemic wave of COVID-19 in China based on Weibo data

W. Shi, F. Zeng, et al.

This insightful paper, authored by Wen-zhong Shi, Fanxin Zeng, Anshu Zhang, Chengzhuo Tong, Xiaoqi Shen, Zhewei Liu, and Zhicheng Shi, explores the emotional responses of the Chinese public during the COVID-19 outbreak by analyzing over 45 million Weibo posts. Discover how emotions varied with significant events and the differences between urban and rural sentiments.

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Abstract

This paper analyzes the evolution of online public opinion during the initial COVID-19 outbreak in China using over 45 million Weibo posts from December 1, 2019, to April 30, 2020. A novel text emotion extraction method based on an emotional ontology dictionary was employed. The study reveals significant emotional fluctuations tied to holidays and key events like the announcement of human-to-human transmission and the Wuhan lockdown. The findings highlight the stronger emotional responses (especially fear) in major cities compared to surrounding areas and offer insights for public opinion monitoring during similar events.

Publisher

Humanities & Social Sciences Communications

Published On

May 06, 2022

Authors

Wen-zhong Shi, Fanxin Zeng, Anshu Zhang, Chengzhuo Tong, Xiaoqi Shen, Zhewei Liu, Zhicheng Shi

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