The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Infodemics: A new challenge for public health
Open accessAbstract
The COVID-19 information epidemic, or "infodemic," demonstrates how unlimited access to information may confuse and influence behaviors during a health emergency. However, the study of infodemics is relatively new, and little is known about their relationship with epidemics management. Here, we discuss unresolved issues and propose research directions to enhance preparedness for future health crises.
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“Infodemic can influence medical decision-making on treatment or preventive measures, (59, 60) for example some people used hydroxychloroquine as a treatment for COVID-19 based on false or unproven information, endorsed by popular and influential people (61).”
From ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023) · cites this paper as [60]
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Cites
The spreading of misinformation online
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H. E., & Quattrociocchi, W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517441113 · Cited by 2,407
Zarocostas, J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30461-x · Cited by 2,344
The COVID-19 social media infodemic
Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-73510-5 · Cited by 2,313
Self-citationThe echo chamber effect on social media
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023301118 · Cited by 2,092 · cited 1×
“Therefore networks of interaction, such as those underlying social media, are beyond any geographical boundary and reshape continuously around new topics with users segregating in echo chambers (where questionable information proliferates with more ease) and with recommendation algorithms that may reinforce shared nar…”
Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016) · Communications of the ACM · doi:10.1145/2818717 · Cited by 1,973
Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics
Gallotti, R., Valle, F., Castaldo, N., Sacco, P., & De Domenico, M. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00994-6 · Cited by 591 · cited 1×
“At the same time, the ongoing revisions of evidence and an overabundant and changing information landscape may induce confusion for policy-makers and civil society (Gallotti et al., 2020; Tangcharoensathien et al., 2020).”
Tangcharoensathien, V., Calleja, N., Nguyen, T., Purnat, T., D’Agostino, M., Garcia-Saiso, S., Landry, M., Rashidian, A., Hamilton, C., AbdAllah, A., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/19659 · Cited by 561
Self-citationNon-pharmaceutical interventions during the COVID-19 pandemic: A review
Perra, N. (2021) · Physics Reports · doi:10.1016/j.physrep.2021.02.001 · Cited by 540
Impact of lockdown on COVID-19 epidemic in Île-de-France and possible exit strategies
Domenico, L. D., Pullano, G., Sabbatini, C. E., Boëlle, P., & Colizza, V. (2020) · BMC Medicine · doi:10.1186/s12916-020-01698-4 · Cited by 419
Roozenbeek, J., van der Linden, S., & Nygren, T. (2020) · Harvard Kennedy School Misinformation Review · doi:10.37016//mr-2020-008 · Cited by 246
Soveri, A., Karlsson, L. C., Antfolk, J., Lindfelt, M., & Lewandowsky, S. (2021) · BMC Public Health · doi:10.1186/s12889-021-10643-w · Cited by 176
Autopsy of a metaphor: The origins, use and blind spots of the ‘infodemic’
Simon, F. M., & Camargo, C. Q. (2021) · New Media & Society · doi:10.1177/14614448211031908 · Cited by 166
The Covid-19 Infodemic — Applying the Epidemiologic Model to Counter Misinformation
Scales, D. A., Gorman, J. M., & Jamieson, K. H. (2021) · New England Journal of Medicine · doi:10.1056/nejmp2103798 · Cited by 112
Ruths, D. (2019) · Science · doi:10.1126/science.aaw1315 · Cited by 51
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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
Conspiracy theories and social media platforms
Cinelli, M., Etta, G., Avalle, M., Quattrociocchi, A., Marco, N. D., Valensise, C. M., Galeazzi, A., & Quattrociocchi, W. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2022.101407 · Cited by 147
Large Language Model‐Based Chatbots in Higher Education
Yigci, D., Eryilmaz, M., Yetisen, A. K., Tasoglu, S., & Ozcan, A. (2025) · Advanced Intelligent Systems · doi:10.1002/aisy.202400429 · Cited by 113
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) · doi:10.2139/ssrn.4352931 · Cited by 708
Self-citationIshizumi, A., Kolis, J., Abad, N., Prybylski, D., Brookmeyer, K. A., Voegeli, C., Wardle, C., & Chiou, H. (2024) · The Lancet Public Health · doi:10.1016/s2468-2667(24)00031-8 · Cited by 79
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Metadata
- Authors
- Briand, S. C., Cinelli, M., Nguyen, T., Lewis, R., Prybylski, D., Valensise, C. M., Colizza, V., Tozzi, A. E., Perra, N., Baronchelli, A., Tizzoni, M., Zollo, F., Scala, A., Purnat, T., Czerniak, C., Kucharski, A. J., Tshangela, A., Zhou, L., & Quattrociocchi, W.
- Affiliations
- World Health Organization (CH)
- Ca' Foscari University of Venice (IT)
- Centers for Disease Control and Prevention (US)
- Centro Ricerche Enrico Fermi (IT)
- Bambino Gesù Children's Hospital (IT)
- University of Greenwich (GB)
- City, University of London (GB)
- Institute for Scientific Interchange (IT)
- London School of Hygiene & Tropical Medicine (GB)
- Africa Centres for Disease Control and Prevention (ET)
- Chinese Center For Disease Control and Prevention (CN)
- Sapienza University of Rome (IT)
- Corresponding author
- Quattrociocchi, Walter
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 184
- Issue
- 25
- Pages
- 6010-6014
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC8656270
- OpenAlex
- W4200373446
- Cited by
- 125
- References
- 13
- Citations by year
- 2026: 17 · 2025: 28 · 2024: 28 · 2023: 29 · 2022: 23
- FWCI
- 28.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 373 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Greenwich Academic Literature Archive (University of Greenwich) (acceptedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, other-oa)
- HAL (submittedVersion)
- Iris (University of Trento) (submittedVersion)
- ARCA (Università Ca' Foscari Venezia) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Funders
- World Health Organization
- Fondazione CRT
- Wellcome Trust (206250/Z/17/Z)
- Institute for Scientific Interchange
- Centers for Disease Control and Prevention
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- infodemic, COVID-19 pandemic, health misinformation, health emergency preparedness, epidemic control, public health communication, health behavior
- MeSH terms
- COVID-19, SARS-CoV-2, Infodemic, Humans, Public Health, Research, Information Dissemination, Epidemics
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