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. 2021 Jan:56:101475.
doi: 10.1016/j.tele.2020.101475. Epub 2020 Jul 30.

Fake news and COVID-19: modelling the predictors of fake news sharing among social media users

Oberiri Destiny Apuke  1   2 , Bahiyah Omar  1
Affiliations

Fake news and COVID-19: modelling the predictors of fake news sharing among social media users

Oberiri Destiny Apuke et al. Telemat Inform.2021 Jan.

Abstract

Fake news dissemination on COVID-19 has increased in recent months, and the factors that lead to the sharing of this misinformation is less well studied. Therefore, this paper describes the result of a Nigerian sample (n = 385) regarding the proliferation of fake news on COVID-19. The fake news phenomenon was studied using the Uses and Gratification framework, which was extended by an "altruism" motivation. The data were analysed with Partial Least Squares (PLS) to determine the effects of six variables on the outcome of fake news sharing. Our results showed that altruism was the most significant factor that predicted fake news sharing of COVID-19. We also found that social media users' motivations for information sharing, socialisation, information seeking and pass time predicted the sharing of false information about COVID-19. In contrast, no significant association was found for entertainment motivation. We concluded with some theoretical and practical implications.

Keywords: COVID-19; Fake news; Fake news sharing; Nigeria; Social media users.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
A research model for fake news sharing.
Fig. 2
Fig. 2
The structural model for fake news sharing.
See this image and copyright information in PMC

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