Fake news during the pandemic times: A Systematic Literature Review using PRISMA-Reference-Cited by-同舟云学术

Fake news during the pandemic times: A Systematic Literature Review using PRISMA

Published:2022-01-01 Issue:1 Volume:6 Page:49-60
ISSN:2451-1781
Container-title:Open Information Science
language:en
Short-container-title:

Author:

Awan Tahir Mumtaz¹,Aziz Mahroz²,Sharif Aruba²,Ch Tehreem Raza³,Jasam Taha²,Alvi Yusra²

Affiliation:

1. COMSATS University Islamabad , Islamabad , Federal Pakistan ; mumtaz.tahir@yahoo.com

2. COMSATS University Islamabad , Islamabad , Federal Pakistan

3. FAST School of Management , FAST-NU Islamabad

Abstract

Abstract The purpose of this systematic literature review is to review the major studies about misinformation and fake news during COVID-19 on social media. A total of 144 articles studies were retrieved from ScienceDirect, Scopus, and Web of Science databases and 20 relevant articles were selected using the PRISMA technique. It was found that altruism, instant news sharing, self-promotion, and socialization are predictors of fake news sharing. Furthermore, the human mind plays a significant role in spreading misinformation while the role of critical thinking of individuals is very much important in controlling the flow of misinformation.

Publisher

Walter de Gruyter GmbH

Subject

Library and Information Sciences

Link

https://www.degruyter.com/document/doi/10.1515/opis-2022-0131/pdf

Reference49 articles.

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2. Alvi, I., & Saraswat, N. (2020). Information Processing-Heuristic Vs. Systematic and Susceptibility of Sharing COVID-19 Related Fake News on Social Media. Journal of Content, Community and Communication, 12(6), 42-56.

3. Apuke, O. D., & Omar, B. (2020a). Modelling the antecedent factors that affect online fake news sharing on COVID-19: the moderating role of fake news knowledge. Health Education Research, 35(5), 490-503.

4. Apuke, O. D., & Omar, B. (2020b). User motivation in fake news sharing during the COVID-19 pandemic: an application of the uses and gratification theory. Online Information Review, 45(1), 220-239. doi:10.1108/OIR-03-2020-0116

5. Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56, 101475.

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