SPECIAL TOPIC: Research on Online Rumors Governance and Personal Information Protection in Public Health Emergencies

Reversal Model and Simulation of Online Rumor Propagation During Public Health Emergencies

  • Wang Xiwei ,
  • Li Yueqi ,
  • Qiu Chengcheng ,
  • Hu Huan
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  • 1 School of Management, Jilin University, Changchun 130022;
    2 Research Center for Big Data Management, Jilin University, Changchun 130022;
    3 Research Center of Cyberspace Governance, Jilin University, Changchun 130022;
    4 School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341000

Received date: 2021-04-12

  Revised date: 2021-07-07

  Online published: 2021-10-09

Abstract

[Purpose/significance] During public health emergencies, due to folks' endogenous demand for health information and lack of scientific knowledge of health information, it stimulates the mass media to spread health information, and also provides opportunities for rumors to publish and spread online rumors. Ineffective scientific knowledge and false news will have a serious negative impact on social stability and disrupt social order during the outbreak of epidemics. Therefore, it is very important to build an effective reversal model of online rumor propagation to control the spread of online rumors and reduce its negative impact.[Method/process] The research adopted the theory of scientific knowledge level and the strategy of online rumors reputation, and constructed the SCNDR online rumor reversal model based on SIR model. The Anylogic software was adopted to simulate the SCNDR model, and the sensitivity analysis of the parameters of the model was carried out.[Result/conclusion] The SCNDR model proposed in this study effectively simulates the reversal process of online rumors during public health emergencies. The key factors affecting the reversal efficiency of online rumors are the penetration rate of users' scientific knowledge level, the public time of official information and the conversion efficiency of credulous users.

Cite this article

Wang Xiwei , Li Yueqi , Qiu Chengcheng , Hu Huan . Reversal Model and Simulation of Online Rumor Propagation During Public Health Emergencies[J]. Library and Information Service, 2021 , 65(19) : 4 -15 . DOI: 10.13266/j.issn.0252-3116.2021.19.001

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