Spread and governance of pseudo-science Internet rumors in major public healthy emergencies based on SEIR model: A case study of COVID-19 epidemic
CHEN An1,2, WANG Zijun1,2, CHEN Yinghua3
1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. School of management, Jiangsu University, Zhenjiang 212013, China
Abstract:By 18:00 on February 16, 2020, the cumulative number of confirmed cases caused by COVID-19 epidemic in China has reached 68,592. The epidemic control work is at a critical period. However, the proliferation of the pseudo-science Internet rumors during the COVID-19 epidemic cause widespread adverse social events, such as the blind rush purchases and hoarding, which seriously affect the epidemic control and the normal social order. Taking the COVID-19 epidemic as an example, this paper reviews the definitions of the pseudo-science and Internet rumors proposed by domestic and foreign scholars. Four major pseudo-science Internet rumors that have had a greater impact in this epidemic, and the data on Sina Weibo(microblog) are used as examples to analyze the spread characteristics of the pseudo-science Internet rumors. Based on the SEIR model, this paper comprehensively analyzes factors such as the lag of official intervention, the bandwagon effect of individual information acceptance, and the spread characteristics of rumors, and the mechanism of the pseudo-science Internet rumors in major public health emergencies through numerical experiments. Finally, this paper proposes countermeasures for the pseudo-science Internet rumors in major public healthy emergencies from various angles.
陈安, 王子君, 陈樱花. 基于SEIR模型视角的重大公共卫生事件中伪科学网络谣言的传播治理:以新冠肺炎疫情为例[J]. 科技导报, 2020, 38(4): 55-65.
CHEN An, WANG Zijun, CHEN Yinghua. Spread and governance of pseudo-science Internet rumors in major public healthy emergencies based on SEIR model: A case study of COVID-19 epidemic. Science & Technology Review, 2020, 38(4): 55-65.