ArticleInternational journal of disaster risk reduction : IJDRR2022
Infodemic and fake news - A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review.
Article in International journal of disaster risk reduction : IJDRR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development of a Conceptual Framework of Health Misinformation During the COVID-19 Pandemic: Systematic Review of Reviews.JMIR public health and surveillance · 2025Pooled it
- A scoping review on emerging technologies and automation of musculoskeletal ergonomic assessments.Ergonomics · 2026Article
- COVID-19 Is Airborne AIDS: Provocative Oversimplification, Emerging Science, or Something in Between?AJPM focus · 2026Review
- Core Concepts for Early Childhood Microbiology Education.Microbial biotechnology · 2026Article
- Understanding the association between medical mistrust, opioid knowledge, and stigma towards adults with a history of an opioid use disorder.Journal of substance use · 2025Article
- Factors Predicting Information Overload During the COVID-19 Pandemic in the Digital Age: Longitudinal Study.Interactive journal of medical research · 2025Article
- Quality Assessment of Health Information on Social Media During a Public Health Crisis: Infodemiology Study.JMIR infodemiology · 2025Article
- Modularity of Online Social Networks and COVID-19 Misinformation Spreading in Russia: Combining Social Network Analysis and National Representative Survey.JMIR infodemiology · 2025Article
- Beliefs in Misinformation About COVID-19 and the Russian Invasion of Ukraine Are Linked: Evidence From a Nationally Representative Survey Study.JMIR infodemiology · 2025Article
- Unraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis.JMIR infodemiology · 2025Article
- Impact of the COVID-19 pandemic on tobacco product consumption and behavioral patterns from a low-middle income country perspective: A qualitative study.Tobacco prevention & cessation · 2025Article
- Readiness to manage Ebola Virus Disease among emergency healthcare workers in Uganda: a nationwide multicenter survey.BMC health services research · 2024Article
- Understanding factors for adhering to health recommendations during COVID-19 among older adults - a qualitative interview study using health belief model as analytical framework.BMC geriatrics · 2024Article
- You must be myths-taken: Examining belief in falsehoods during the COVID-19 health crisis.PloS one · 2024Article
- The coronavirus disease 2019 infodemic: a concept analysis.Frontiers in public health · 2024Article
- Mental Health and Other Factors Associated with COVID-19 Vaccination Intention toward Children of Military Parents in Lambayeque, Peru.TheScientificWorldJournal · 2024Article
- Toward trustworthy COVID-19 interventions: Building vaccine trust through community-university partnerships.PloS one · 2024Article
- Analyzing information sharing behaviors during stance formation on COVID-19 vaccination among Japanese Twitter users.PloS one · 2024Article
- Patients Are Using Dietary Supplement for the Treatment of Their Diseases without Consultation with Their Physicians and Pharmacists.Pharmacy (Basel, Switzerland) · 2023Article
- Self-rated health impact of COVID 19 confinement on inmates in Southeastern of Europe: a qualitative study.BMC public health · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.