A rumor reversal model of online health information during the Covid-19 epidemic.
Public health emergency
Rumor refutation
Rumor reversal
Rumor spread
Journal
Information processing & management
ISSN: 0306-4573
Titre abrégé: Inf Process Manag
Pays: England
ID NLM: 9877091
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
received:
20
01
2021
revised:
24
04
2021
accepted:
12
08
2021
entrez:
20
9
2021
pubmed:
21
9
2021
medline:
21
9
2021
Statut:
ppublish
Résumé
The development of the Internet and social media has expanded the speed and scope of information dissemination, but not all widely disseminated information is true. Especially during the public health emergencies, the endogenous health information demand generated by the lack of scientific knowledge of health information among online users stimulates the dissemination of health information by mass media while providing opportunities for rumor mongers to publish and spread online rumors. Invalid scientific knowledge and rumors will have a serious negative impact and disrupt social order during epidemic outbreaks such as COVID-19. Therefore, it is extremely important to construct an effective online rumor reversal model. The purpose of this study is to build an online rumor reversal model to control the spread of online rumors and reduce their negative impact. From the perspective of internal and external factors, based on the SIR model, this study constructed a G-SCNDR online rumor reversal model by adopting scientific knowledge level theory and an external online rumor control strategy. In this study, the G-SCNDR model is simulated, and a sensitivity analysis of the important parameters of the model is performed. The reversal efficiency of the G-SCNDR model can be improved by properly adopting the isolation-conversion strategy as the external control approach to online rumors with improving the popularization rate of the level of users' scientific knowledge and accelerating the transformation efficiency of official nodes. This study can help provide a better understanding of the process of online rumor spreading and reversing, as well as offering ceritain guidance and countermeasures for online rumor control during public health emergencies.
Identifiants
pubmed: 34539040
doi: 10.1016/j.ipm.2021.102731
pii: S0306-4573(21)00215-6
pmc: PMC8441309
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102731Informations de copyright
© 2021 Elsevier Ltd. All rights reserved.
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