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Modelling the Antecedent Factors That Affect Online Fake News Sharing on COVID-19: The Moderating Role of Fake News Knowledge

Health Education Research, 2020-10, Vol.35 (5), p.490-503 [Peer Reviewed Journal]

The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://academic.oup.com/journals/pages/coronavirus . ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com 2020 ;ISSN: 0268-1153 ;EISSN: 1465-3648 ;DOI: 10.1093/her/cyaa030 ;PMID: 33090215

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Title:
Modelling the Antecedent Factors That Affect Online Fake News Sharing on COVID-19: The Moderating Role of Fake News Knowledge
Author: Apuke, Oberiri Destiny ; Omar, Bahiyah
Subjects: Adolescent ; Adult ; Aged ; Betacoronavirus ; Coronavirus Infections ; COVID-19 ; Deception ; Female ; Foreign Countries ; Humans ; Influences ; Information Seeking ; Interpersonal Relationship ; Knowledge Level ; Male ; Mass Media Effects ; Middle Aged ; News Media ; News Reporting ; Nigeria ; Online Systems ; Original ; Pandemics ; Pneumonia, Viral ; Predictor Variables ; SARS-CoV-2 ; Sharing Behavior ; Social Influences ; Social Media ; Social Networks ; Theories ; Users (Information) ; Young Adult
Is Part Of: Health Education Research, 2020-10, Vol.35 (5), p.490-503
Description: We proposed a conceptual model combining three theories: uses and gratification theory, social networking sites (SNS) dependency theory and social impact theory to understand the factors that predict fake news sharing related to COVID-19. We also tested the moderating role of fake news knowledge in reducing the tendency to share fake news. Data were drawn from social media users (n = 650) in Nigeria, and partial least squares was used to analyse the data. Our results suggest that tie strength was the strongest predictor of fake news sharing related to COVID-19 pandemic. We also found perceived herd, SNS dependency, information-seeking and parasocial interaction to be significant predictors of fake news sharing. The effect of status-seeking on fake news sharing, however, was not significant. Our results also established that fake news knowledge significantly moderated the effect of perceived herd, SNS dependency, information-seeking, parasocial interaction on fake news sharing related to COVID-19. However, tie strength and status-seeking effects were not moderated.
Publisher: England: Oxford University Press
Language: English
Identifier: ISSN: 0268-1153
EISSN: 1465-3648
DOI: 10.1093/her/cyaa030
PMID: 33090215
Source: Coronavirus Research Database

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Modelling the Antecedent Factors That Affect Online Fake News Sharing on COVID-19: The Moderating Role of Fake News Knowledge

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