Skip to content
BY 4.0 license Open Access Published by De Gruyter Open Access April 18, 2022

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

Tahir Mumtaz Awan, Mahroz Aziz, Aruba Sharif, Tehreem Raza Ch, Taha Jasam and Yusra Alvi
From the journal Open Information Science

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.

References

Alsukaini, A. K. M., Sumra, K., Khan, R., & Awan, T. M. (2022). New trends in digital marketing emergence during pandemic times. International Journal of Innovation Science.10.1108/IJIS-08-2021-0139Search in Google Scholar

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.Search in Google Scholar

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), 490-503.10.1093/her/cyaa030Search in Google Scholar

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-03-2020-011610.1108/OIR-03-2020-0116Search in Google Scholar

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, 101475.10.1016/j.tele.2020.101475Search in Google Scholar

Aslam, F., Awan, T. M., & Fatima, T. (2021). Classification of m-payment users’ behavior using machine learning models. Journal of Financial Services Marketing, 1-12.10.1057/s41264-021-00114-zSearch in Google Scholar

Aslam, F., Awan, T. M., Khan, R., Aslam, M., & Mohmand, Y. T. (2021). Prediction of COVID-19 confirmed cases in Indo-Pak sub-continent. The Journal of Infection in Developing Countries, 15(03), 382-388.10.3855/jidc.13419Search in Google Scholar

Aslam, F., Awan, T. M., Syed, J. H., Kashif, A., & Parveen, M. (2020). Sentiments and emotions evoked by news headlines of coronavirus disease (COVID-19) outbreak. Humanities and Social Sciences Communications, 7(1), 1-9.10.1057/s41599-020-0523-3Search in Google Scholar

Atlani-Duault, L., Ward, J. K., Roy, M., Morin, C., & Wilson, A. (2020). Tracking online heroisation and blame in epidemics. The Lancet Public Health, 5(3), e137-e138.10.1016/S2468-2667(20)30033-5Search in Google Scholar

Awan, T. M., & Aslam, F. (2020). Prediction of daily COVID-19 cases in European countries using automatic ARIMA model. Journal of public health research, 9(3), 1765.10.4081/jphr.2020.1765Search in Google Scholar

Awan, T. M., & Maqsood, J. (2021). Review of top five financial markets during the pandemic times. International Journal of Financial Engineering, 8(04), 2131001.10.1142/S2424786321310010Search in Google Scholar

Basch, C. H., Hillyer, G. C., Meleo-Erwin, Z. C., Jaime, C., Mohlman, J., & Basch, C. E. (2020). Preventive behaviors conveyed on YouTube to mitigate transmission of COVID-19: cross-sectional study. JMIR public health and surveillance, 6(2), e18807.10.2196/18807Search in Google Scholar

Bastani, P., & Bahrami, M. A. (2020). COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran. Journal of medical Internet research, ahead-of-print. doi:10.2196/18932.10.2196/18932Search in Google Scholar

Ceron, W., de-Lima-Santos, M.-F., & Quiles, M. G. (2021). Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content. Online Social Networks and Media, 21, 100116.10.1016/j.osnem.2020.100116Search in Google Scholar

Chen, I.-H., Chen, C.-Y., Pakpour, A. H., Griffiths, M. D., & Lin, C.-Y. (2020). Internet-related behaviors and psychological distress among schoolchildren during COVID-19 school suspension. Journal of the American Academy of Child and Adolescent Psychiatry, 59(10), 1099.10.1016/j.jaac.2020.06.007Search in Google Scholar

Greene, C. M., & Murphy, G. (2020). Individual differences in susceptibility to false memories for COVID-19 fake news. Cognitive research: principles and implications, 5(1), 1-8.10.1186/s41235-020-00262-1Search in Google Scholar

Haq, I. U., & Awan, T. M. (2020). Impact of e-banking service quality on e-loyalty in pandemic times through interplay of e-satisfaction. Management, 17(1/2), 39-55.Search in Google Scholar

Hartley, K., & Vu, M. K. (2020). Fighting fake news in the COVID-19 era: policy insights from an equilibrium model. Policy Sciences, 53(4), 735-758.10.1007/s11077-020-09405-zSearch in Google Scholar

Havas, J., & Sulimma, M. (2020). Through the gaps of my fingers: Genre, femininity, and cringe aesthetics in dramedy television. Television & New Media, 21(1), 75-94.10.1177/1527476418777838Search in Google Scholar

Hua, J., & Shaw, R. (2020). Corona virus (Covid-19)“infodemic” and emerging issues through a data lens: The case of china. International journal of environmental research and public health, 17(7), 2309.10.3390/ijerph17072309Search in Google Scholar

Islam, A. N., Laato, S., Talukder, S., & Sutinen, E. (2020). Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective. Technological forecasting and social change, 159, 120201.10.1016/j.techfore.2020.120201Search in Google Scholar

Kebede, Y., Birhanu, Z., Fufa, D., Yitayih, Y., Abafita, J., Belay, A., . . . Ambelu, A. (2020). Myths, beliefs, and perceptions about COVID-19 in Ethiopia: A need to address information gaps and enable combating efforts. PloS one, 15(11), e0243024.10.1371/journal.pone.0243024Search in Google Scholar

Khan, R., Fatima, T., Ramayah, T., Awan, T. M., & Kayani, Z. K. (2021). Community Safety Behavior in Response to Coronavirus Pandemic. Illness, Crisis & Loss, ahead-of-print, 1-27.10.1177/10541373211033962Search in Google Scholar

Li, H. O.-Y., Bailey, A., Huynh, D., & Chan, J. (2020). YouTube as a source of information on COVID-19: a pandemic of misinformation? BMJ global health, 5(5), e002604.10.1136/bmjgh-2020-002604Search in Google Scholar

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P., . . . Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of clinical epidemiology, 62(10), e1-e34.10.1016/j.jclinepi.2009.06.006Search in Google Scholar

Lin, C.-Y. (2020). Social reaction toward the 2019 novel coronavirus (COVID-19). Social Health and Behavior, 3(1), 1.10.4103/SHB.SHB_11_20Search in Google Scholar

Marco-Franco, J. E., Pita-Barros, P., Vivas-Orts, D., González-de-Julián, S., & Vivas-Consuelo, D. (2021). COVID-19, fake news, and vaccines: should regulation be implemented? International journal of environmental research and public health, 18(2), 744.10.3390/ijerph18020744Search in Google Scholar

Mongkhon, P., Ruengorn, C., Awiphan, R., Thavorn, K., Hutton, B., Wongpakaran, N., . . . Nochaiwong, S. (2021). Exposure to COVID-19-related information and its association with mental health problems in Thailand: nationwide, cross-sectional survey study. Journal of medical Internet research, 23(2), e25363.10.2196/25363Search in Google Scholar

Montesi, M. (2021). Understanding fake news during the Covid-19 health crisis from the perspective of information behaviour: The case of Spain. Journal of Librarianship and Information Science, 53(3), 454-465.10.1177/0961000620949653Search in Google Scholar

Nabity-Grover, T., Cheung, C. M., & Thatcher, J. B. (2020). Inside out and outside in: How the COVID-19 pandemic affects self-disclosure on social media. International Journal of Information Management, 55, 102188.10.1016/j.ijinfomgt.2020.102188Search in Google Scholar

O’brien, M., Moore, K., & McNicholas, F. (2020). Social media spread during Covid-19: the pros and cons of likes and shares. Ir Med J, 113(4), 52.Search in Google Scholar

Obiała, J., Obiała, K., Mańczak, M., Owoc, J., & Olszewski, R. (2021). COVID-19 misinformation: accuracy of articles about coronavirus prevention mostly shared on social media. Health policy and technology, 10(1), 182-186.10.1016/j.hlpt.2020.10.007Search in Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., . . . Brennan, S. E. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906.10.1016/j.ijsu.2021.105906Search in Google Scholar

Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological science, 31(7), 770-780.10.1177/0956797620939054Search in Google Scholar

Qin, L., Sun, Q., Wang, Y., Wu, K.-F., Chen, M., Shia, B.-C., & Wu, S.-Y. (2020). Prediction of number of cases of 2019 novel coronavirus (COVID-19) using social media search index. International journal of environmental research and public health, 17(7), 2365.10.3390/ijerph17072365Search in Google Scholar

Roitero, K., Soprano, M., Portelli, B., Spina, D., Della Mea, V., Serra, G., . . . Demartini, G. (2020). The covid-19 infodemic: Can the crowd judge recent misinformation objectively? Paper presented at the Proceedings of the 29th ACM International Conference on Information & Knowledge Management.10.1145/3340531.3412048Search in Google Scholar

Schroyer, D. (2021). Media effects on individual worldview and wellness for long-term care residents amid the COVID-19 virus. The Gerontologist, 61(1), 8-12.10.1093/geront/gnaa095Search in Google Scholar

Scopelliti, M., Pacilli, M. G., & Aquino, A. (2021). TV news and COVID-19: Media influence on healthy behavior in public spaces. International journal of environmental research and public health, 18(4), 1879.10.3390/ijerph18041879Search in Google Scholar

Sharif, A., Awan, T. M., & Paracha, O. S. (2021). The fake news effect: what does it mean for consumer behavioral intentions towards brands? Journal of Information, Communication and Ethics in Society.10.1108/JICES-05-2021-0044Search in Google Scholar

Sipra, H., Aslam, F., Syed, J. H., & Awan, T. M. (2021). Investigating the Implications of COVID-19 on PM2. 5 in Pakistan. Aerosol and Air Quality Research, 21(2), 200459.10.4209/aaqr.2020.07.0459Search in Google Scholar

Su, Y. (2021). It doesn’t take a village to fall for misinformation: Social media use, discussion heterogeneity preference, worry of the virus, faith in scientists, and COVID-19-related misinformation beliefs. Telematics and Informatics, 58, 101547.10.1016/j.tele.2020.101547Search in Google Scholar

Tasnim, S., Hossain, M. M., & Mazumder, H. (2020). Impact of rumors and misinformation on COVID-19 in social media. Journal of preventive medicine and public health, 53(3), 171-174.10.3961/jpmph.20.094Search in Google Scholar

Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020). Digital technology and COVID-19. Nature medicine, 26(4), 459-461.10.1038/s41591-020-0824-5Search in Google Scholar

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British journal of management, 14(3), 207-222.10.1111/1467-8551.00375Search in Google Scholar

Vraga, E. K., & Bode, L. (2021). Addressing COVID-19 misinformation on social media preemptively and responsively. Emerging infectious diseases, 27(2), 396.10.3201/eid2702.203139Search in Google Scholar

Wiederhold, B. K. (2020). Connecting through technology during the coronavirus disease 2019 pandemic: Avoiding “Zoom Fatigue”. In (Vol. 23, pp. 437-438): Mary Ann Liebert, Inc., publishers 140 Huguenot Street, 3rd Floor New ….Search in Google Scholar

Wong, J. E., Leo, Y. S., & Tan, C. C. (2020). COVID-19 in Singapore—current experience: critical global issues that require attention and action. Jama, 323(13), 1243-1244.10.1001/jama.2020.2467Search in Google Scholar

Zarocostas, J. (2020). How to fight an infodemic. The lancet, 395(10225), 676.10.1016/S0140-6736(20)30461-XSearch in Google Scholar

Zhang, L., Chen, K., Jiang, H., & Zhao, J. (2020). How the health rumor misleads people’s perception in a public health emergency: lessons from a purchase craze during the COVID-19 outbreak in China. International journal of environmental research and public health, 17(19), 7213.10.3390/ijerph17197213Search in Google Scholar

Received: 2021-02-26
Accepted: 2022-03-29
Published Online: 2022-04-18

© 2020 Tahir Mumtaz Awan et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Scroll Up Arrow