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The COVID-19 infodemic
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“The diffusion of misinformation conveyed through rapidly disseminated channels such as mass media and social networks, can generate the phenomenon known as infodemic (57).”
From ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023) · cites this paper as [57]
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The Lancet Commission on lessons for the future from the COVID-19 pandemic
Sachs, J. D., Karim, S. S. A., Aknin, L., Allen, J., Brosbøl, K., Colombo, F., Barron, G. C., Espinosa, M. F., Gaspar, V., Gaviria, A., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01585-9 · Cited by 842
ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
De Angelis, L., Baglivo, F., Arzilli, G., Privitera, G. P., Ferragina, P., Tozzi, A. E., & Rizzo, C. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1166120 · Cited by 708
Generating scholarly content with ChatGPT: Ethical challenges for medical publishing
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“As an individual's information processing is sensitive to the affect associated with uncertainty appraisals, it is necessary to distinguish affect at a more fine-grained level than merely positive and negative (Tiedens & Linton, 2001).”
BackgroundMining Dual Emotion for Fake News Detection
Zhang, X., Cao, J., Li, X., Sheng, Q., Zhong, L., & Shu, K. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442381.3450004 · Cited by 365
“The most recent example is the concomitant infodemic during the COVID-19 pandemic across the world [41].”
BackgroundSentiment Analysis for Fake News Detection
Alonso, M. Á., Vilares, D., Gómez‐Rodríguez, C., & Vilares, J. (2021) · Electronics · doi:10.3390/electronics10111348 · Cited by 267
Just Transition: A whole-systems approach to decarbonisation
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“In the case of COVID-19, uncertainty and fear over both the virus, vaccines, and government restrictions, as well as a lack of consistent public communication, fuelled an ‘ infodemic ’ that threatened to undermine broad support for public health interventions (Lancet Editorial, 2020).”
Environment of Peace: Security in a New Era of Risk
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Social media and its impact on health care
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Conspiracy theories in the era of COVID‐19: A tale of two pandemics
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“We further controlled for political affiliation, age, gender, and race given the early evidence that COVID-19 beliefs, knowledge, and responses have been stratified by these demographic variables (Alsan et al., 2020; Jurkowitz and Mitchell, 2020; Tyson, 2020).”
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“Not only is a large amount of information available, but a significant amount of it must be considered misinformation because the sources of the information must be classified questionable [13,14].”
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COVID-19: the deadly threat of misinformation
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“DieZeitschriftLancet Infectious Diseasenahm im Juli 2020 Stellung zur „COVID-19 Infodemic“, nachdem der Generaldirektor der WHO die COVID-19-Pandemie als eine solche bezeichnet hatte [47].”
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Facilitators and barriers to vaccination uptake in pregnancy: A qualitative systematic review
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Can a combination of vaccination and face mask wearing contain the COVID‐19 pandemic?
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“In fact, the COVID-19 pandemic has also caused a parallel epidemic, dubbed an ‘infodemic’ by WHO, where groups with political interests spread deliberately misinformation to destabilize the democratic system and discredit ‘elite’ knowledge provided by science and medical research (Anonymous, 2020).”
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“As World Health Organization Director General Tedros Adhanom Ghebreyesus remarked, “We’re not just fighting a pandemic; we’re fighting an infodemic” (The Lancet Infectious Diseases 2020).”
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Combining Crowd and Machine Intelligence to Detect False News on Social Media
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Vaccine Hesitancy: Drivers and How the Allergy Community Can Help
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User perspectives on digital literacy as a response to misinformation
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The Future of Infodemic Surveillance as Public Health Surveillance
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“Moreover, academics are likely to have somewhat different access to diverse resources, such as those which may perpetuate the ‘infodemic’, flooded with unsubstantiated conspiracy theory materials [16].”
BackgroundAnatomy in a Post‐Covid‐19 World: Tracing a New Trajectory
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“Tragically, this may increase the chances of people joining the infodemic, with its misleading and frequently fabricated news, so beloved of conspiracy theorists (Lancet, 2020).”
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“This finding also highlights the necessity of clear communication strategies from health and political authorities, especially under pandemic conditions that risks being dominated by confusing or misleading information leading people to engage in risky behavior that can compromise their own others’ health [25].”
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Monkeypox Outbreaks in 2022: Battling Another “Pandemic” of Misinformation
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COVID-19 Sources of Information, Knowledge, and Preventive Behaviors Among the US Adult Population
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“Infectious Diseases, 20(8):875, 2020.”
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Evidence-Based Policies in Public Health to Address COVID-19 Vaccine Hesitancy
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Taboos in health communication: Stigma, silence and voice
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“Due to the excessive amount of rapidly published research on COVID-19, often referred to as an “infodemic” [2 , 3] , the scientific community has already faced a similar scenario to the one described for ivermectin in the present review.”
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“The severity of the situation was well illustrated by Tedros Adhanom Ghebreyesus, the General Director of the World Health Organization, who said, “We’re not just fighting a pandemic; we’re fighting an infodemic” at the 2020 Munich Security Conference (Editorial of the Lancet Infectious diseases, 2020).”
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Trust in COVID ‐19 public health information
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“Issues with distrust among the public [9, 10], criticisms regarding lack of transparency [11], and inconsistent and unclear communications [12, 13], as well as the current infodemic [14, 15] have undermined the efforts of official actors.”
BackgroundLotto, M., Hanjahanja-Phiri, T., Padalko, H., Oetomo, A., Butt, Z. A., Boger, J. N., Millar, J., Cruvinel, T., & Morita, P. P. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1130079 · Cited by 24
Social Media Big Data: The Good, The Bad, and the Ugly (Un)truths
Chew, A., & Gunasekeran, D. V. (2021) · Frontiers in Big Data · doi:10.3389/fdata.2021.623794 · Cited by 25
“This imposed an additional strain on humanity’s coordinated attempts to eradicate COVID-19, hindering public health risk communication (The Lancet Infectious Diseases, 2020).”
BackgroundLi, H., Huang, J., Ji, M., Yang, Y., & An, R. (2025) · Journal of Medical Internet Research · doi:10.2196/66098 · Cited by 33
Kusama, T., Kiuchi, S., Takeuchi, K., Ikeda, T., Nakazawa, N., Kinugawa, A., Osaka, K., & Tabuchi, T. (2022) · Healthcare · doi:10.3390/healthcare10030521 · Cited by 22
Caycho‐Rodríguez, T., Tomás, J. M., Vilca, L. W., Cadena, C. H. G., Rojas-Jara, C., White, M., & Peña-Calero, B. N. (2021) · Psychology Health & Medicine · doi:10.1080/13548506.2021.1944655 · Cited by 28
Haupt, M. R., Cuomo, R. E., Li, J., Nali, M. C., & Mackey, T. K. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100235 · Cited by 25
Wyszynski, D. F., Hernández–Dı́az, S., Gordon-Dseagu, V., Ramiro, N., Basu, A., Kim, H. H., & Koenen, K. C. (2021) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-021-04241-2 · Cited by 24
Ezzeddine, F., Ayoub, O., Giordano, S., Nogara, G., Sbeity, I., Ferrara, E., & Luceri, L. (2023) · EPJ Data Science · doi:10.1140/epjds/s13688-023-00423-4 · Cited by 29
Biodefence research two decades on: worth the investment?
Long, C. M., & Marzi, A. (2021) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(21)00382-0 · Cited by 20
Metadata
- Authors
- Diseases, T. L. I.
- Corresponding author
- The Lancet Infectious Diseases
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 20
- Issue
- 8
- Pages
- 875
- ISSN
- 1473-3099 (ISSN-L)
- PMC
- PMC7367666
- OpenAlex
- W4205924832
- Cited by
- 421
- References
- 0
- Citations by year
- 2026: 20 · 2025: 38 · 2024: 52 · 2023: 79 · 2022: 132 · 2021: 82 · 2020: 16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet Infectious Diseases (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- COVID-19 pandemic, infodemic, misinformation, fake news, conspiracy theories, social media, trust in health institutions, infodemiology, World Health Organization
- MeSH terms
- COVID-19, Communication, Health Policy, Humans, Pneumonia, Viral, Publishing, Journalism, Medical, Coronavirus Infections, Information Dissemination, Pandemics, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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