Infodemic and Fake News - A Comprehensive Overview of Its Global Magnitude During the COVID-19 Pandemic in 2021: A Scoping Review

Overview

Journal Int J Disaster Risk Reduct

Date 2022 Jul 6

PMID 35791376

Authors

Vimala Balakrishnan

Wei Zhen Ng

Mun Chong Soo

Gan Joo Han

Choon Jiat Lee

Affiliations

Soon will be listed here.

Abstract

The spread of fake news increased dramatically during the COVID-19 pandemic worldwide. This study aims to synthesize the extant literature to understand the magnitude of this phenomenon in the wake of the pandemic in 2021, focusing on the motives and sociodemographic profiles, Artificial Intelligence (AI)-based tools developed, and the top trending topics related to fake news. A scoping review was adopted targeting articles published in five academic databases (January 2021-November 2021), resulting in 97 papers. Most of the studies were empirical in nature (N = 69) targeting the general population (N = 26) and social media users (N = 13), followed by AI-based detection tools (N = 27). Top motives for fake news sharing include low awareness, knowledge, and health/media literacy, Entertainment/Pass Time/Socialization, Altruism, and low trust in government/news media, whilst the phenomenon was more prominent among those with low education, males and younger. Machine and deep learning emerged to be the widely explored techniques in detecting fake news, whereas top topics were related to vaccine, virus, cures/remedies, treatment, and prevention. Immediate intervention and prevention efforts are needed to curb this anti-social behavior considering the world is still struggling to contain the spread of the COVID-19 virus.

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References

Bok S, Martin D, Acosta E, Lee M, Shum J . Validation of the COVID-19 Transmission Misinformation Scale and Conditional Indirect Negative Effects on Wearing a Mask in Public. Int J Environ Res Public Health. 2021; 18(21). PMC: 8583109. DOI: 10.3390/ijerph182111319. View

Melki J, Tamim H, Hadid D, Makki M, El Amine J, Hitti E . Mitigating infodemics: The relationship between news exposure and trust and belief in COVID-19 fake news and social media spreading. PLoS One. 2021; 16(6):e0252830. PMC: 8177444. DOI: 10.1371/journal.pone.0252830. View

Nazar S, Pieters T . Revisited: A Product of Planned Disinformation Amplifying the COVID-19 "infodemic". Front Public Health. 2021; 9:649930. PMC: 8318131. DOI: 10.3389/fpubh.2021.649930. View

Bapaye J, Bapaye H . Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study. JMIR Public Health Surveill. 2021; 7(1):e19858. PMC: 7850780. DOI: 10.2196/19858. View

Bin Naeem S, Kamel Boulos M . COVID-19 Misinformation Online and Health Literacy: A Brief Overview. Int J Environ Res Public Health. 2021; 18(15). PMC: 8345771. DOI: 10.3390/ijerph18158091. View

Leng Y, Zhai Y, Sun S, Wu Y, Selzer J, Strover S . Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements. IEEE Trans Big Data. 2023; 7(1):69-80. PMC: 8769030. DOI: 10.1109/TBDATA.2021.3055758. View

Reyes L, Ortiz L, Abedi M, Luciano Y, Ramos W, Reyes P . Misinformation on COVID-19 origin and its relationship with perception and knowledge about social distancing: A cross-sectional study. PLoS One. 2021; 16(3):e0248160. PMC: 7942988. DOI: 10.1371/journal.pone.0248160. View

Preston S, Anderson A, Robertson D, Shephard M, Huhe N . Detecting fake news on Facebook: The role of emotional intelligence. PLoS One. 2021; 16(3):e0246757. PMC: 7951906. DOI: 10.1371/journal.pone.0246757. View

Lwin M, Lee S, Panchapakesan C, Tandoc E . Mainstream News Media's Role in Public Health Communication During Crises: Assessment of Coverage and Correction of COVID-19 Misinformation. Health Commun. 2021; 38(1):160-168. DOI: 10.1080/10410236.2021.1937842. View

10.

Guelmami N, Ben Khalifa M, Chalghaf N, Kong J, Amayra T, Wu J . Development of the 12-Item Social Media Disinformation Scale and its Association With Social Media Addiction and Mental Health Related to COVID-19 in Tunisia: Survey-Based Pilot Case Study. JMIR Form Res. 2021; 5(6):e27280. PMC: 8191730. DOI: 10.2196/27280. View

11.

Jain V, Kaliyar R, Goswami A, Narang P, Sharma Y . AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Comput Appl. 2021; 34(1):771-782. PMC: 8403255. DOI: 10.1007/s00521-021-06450-4. View

12.

Taghipour F, Ashrafi-Rizi H, Soleymani M . Dissemination and Acceptance of COVID-19 Misinformation in Iran: A Qualitative Study. Community Health Equity Res Policy. 2021; 43(3):283-291. PMC: 9996074. DOI: 10.1177/0272684X211022155. View

13.

Kim J, Aum J, Lee S, Jang Y, Park E, Choi D . FibVID: Comprehensive fake news diffusion dataset during the COVID-19 period. Telemat Inform. 2022; 64:101688. PMC: 9759652. DOI: 10.1016/j.tele.2021.101688. View

14.

Obiala J, Obiala K, Manczak M, Owoc J, Olszewski R . COVID-19 misinformation: Accuracy of articles about coronavirus prevention mostly shared on social media. Health Policy Technol. 2020; 10(1):182-186. PMC: 7603966. DOI: 10.1016/j.hlpt.2020.10.007. View

15.

Atehortua N, Patino S . COVID-19, a tale of two pandemics: novel coronavirus and fake news messaging. Health Promot Int. 2021; 36(2):524-534. PMC: 7928890. DOI: 10.1093/heapro/daaa140. View

16.

Sleigh J, Amann J, Schneider M, Vayena E . Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic. BMC Public Health. 2021; 21(1):810. PMC: 8079223. DOI: 10.1186/s12889-021-10851-4. View

17.

Klimiuk K, Czoska A, Biernacka K, Balwicki L . Vaccine misinformation on social media - topic-based content and sentiment analysis of Polish vaccine-deniers' comments on Facebook. Hum Vaccin Immunother. 2021; 17(7):2026-2035. PMC: 8189052. DOI: 10.1080/21645515.2020.1850072. View

18.

Basch C, Meleo-Erwin Z, Fera J, Jaime C, Basch C . A global pandemic in the time of viral memes: COVID-19 vaccine misinformation and disinformation on TikTok. Hum Vaccin Immunother. 2021; 17(8):2373-2377. PMC: 8475621. DOI: 10.1080/21645515.2021.1894896. View

19.

Wang Y, Mckee M, Torbica A, Stuckler D . Systematic Literature Review on the Spread of Health-related Misinformation on Social Media. Soc Sci Med. 2019; 240:112552. PMC: 7117034. DOI: 10.1016/j.socscimed.2019.112552. View

20.

Apuke O, Omar B . Social media affordances and information abundance: Enabling fake news sharing during the COVID-19 health crisis. Health Informatics J. 2021; 27(3):14604582211021470. DOI: 10.1177/14604582211021470. View