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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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Machado, H., de Freitas, C., Fiske, A., et al. (2024) · Public Understanding of Science · doi:10.1177/09636625231220219 · Cited by 6
“Most studies assessing public attitudes toward science in the context of COVID-19 tend to see publics as in need of education in the understanding of basic processes of science in response to a global public health emergency (The Lancet Infectious Diseases Editorial Board, 2020; Wang et al., 2022).”
BackgroundDevelopment and Evaluation of a Turkish Scale to Assess Medication Literacy for Adults
TORUN, O., MEMİÇ, İ., Ay, P., Sancar, M., Selçuk, A., Balta, E., Ozcan, V., & Okuyan, B. (2022) · Turkish Journal of Pharmaceutical Sciences · doi:10.4274/tjps.galenos.2022.07277 · Cited by 6
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Gharaibeh, M., Obeidat, R., Abdullah, M., & Alharahsheh, Y. (2022) · International Conference on Information and Communication Systems (ICICS) · doi:10.1109/icics55353.2022.9811124 · Cited by 6
“The director-general of the World Health Organization (WHO) said, “we are not just fighting a pandemic; we are fighting an infodemic,” because that is particularly alarming since it affects trust in health organizations and programs [9].”
BackgroundExtremist language in anti-COVID-19 conspiracy discourse on Facebook
Marko, K. (2022) · Critical Discourse Studies · doi:10.1080/17405904.2022.2110134 · Cited by 6
Saeed, H., Ali, K., Nabeel, M., et al. (2023) · Vaccines · doi:10.3390/vaccines11010176 · Cited by 6
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Uncertainty in the COVID-19 Pandemic and the Art of Medicine
He, Y., & Vinci, R. J. (2021) · PEDIATRICS · doi:10.1542/peds.2020-042937 · Cited by 6
Berry, C. N., Walker, K., Baker, N., et al. (2023) · Healthcare · doi:10.3390/healthcare11152212 · Cited by 6
Çalışkan, C., Özsezer, G., Pay, M., Özdenk, G. D., Çelebi, İ., & Koçak, H. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.948478 · Cited by 5
Marsall, M., Dinse, H., Schröder, J., Skoda, E., Teufel, M., & Bäuerle, A. (2024) · JMIR Formative Research · doi:10.2196/52189 · Cited by 5
Domaradzki, J., Jabkowski, P., & Walkowiak, D. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06057-y · Cited by 5
Are Fact-Checking Tools Helpful? An Exploration of the Usability of Google Fact Check
Yang, Q., Christensen, T., Gilda, S., Fernandes, J., Oliveira, D., Wilson, R., & Woodard, D. L. (2025) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-97352-9_7 · Cited by 13
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da Silva, P. V. D. (2020) · AtoZ novas práticas em informação e conhecimento · doi:10.5380/atoz.v9i2.76506 · Cited by 5
Andersson, E. M., & Norberg, M. (2023) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2023.102133 · Cited by 5
Zubielevitch, E., Sibley, C. G., & Osborne, D. (2023) · European Journal of Social Psychology · doi:10.1002/ejsp.3003 · Cited by 6
12-year observation of tweets about rubella in Japan: A retrospective infodemiology study
Sano, Y., & Hori, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0285101 · Cited by 5
Osterrieder, A., Cuman, G., Ngum, W. P., et al. (2020) · medRxiv · doi:10.1101/2020.10.26.20209361 · Cited by 5
Okada, H., Okuhara, T., & Kiuchi, T. (2025) · Interactive Journal of Medical Research · doi:10.2196/67098 · Cited by 4
Pharmacy Leadership Amid the Pandemic: Maintaining Patient Safety During Uncertain Times
Lin, I. D., & Hertig, J. B. (2021) · Hospital Pharmacy · doi:10.1177/00185787211037545 · Cited by 4
Watson, S., Benning, T. J., Marcon, A. R., Zhu, X., Caulfield, T., Sharp, R. R., & Master, Z. (2024) · JMIR Infodemiology · doi:10.2196/51328 · Cited by 5
Izhar, R., Husain, S., Tahir, M. A., et al. (2021) · Asia Pacific Journal of Public Health · doi:10.1177/1010539521997261 · Cited by 4
Bogomoletc, E., Goodwin, J., & Binder, A. R. (2021) · Risk, systems and decisions · doi:10.1007/978-3-030-77344-1_14 · Cited by 4
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Chioléro, A. (2022) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2021-216584 · Cited by 4
Liu, T., Peng, M., Au, W. S. H., Wong, F. H. C., Kwok, W.-W., Yin, J., Lum, T. Y. S., & Wong, G. H. Y. (2022) · Aging & Mental Health · doi:10.1080/13607863.2022.2045562 · Cited by 5
Quach, H., Thái, P. Q., Hoang, T. N. A., Dinh, P. C., Nguyen, V.-C., Le, S. H., Thanh, L. T., Bui, T. M. T., Le, D. H., Dang, A. D., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266299 · Cited by 4
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dos Santos, C. M., Frichembruder, K., Severo, M. B., Gehrke, G. H., Cavalcante, R. B., & Bulgarelli, A. F. (2022) · Revista Brasileira de Geriatria e Gerontologia · doi:10.1590/1981-22562021024.210240.pt · Cited by 4
Dupuy-Zini, A., Audeh, B., Gérardin, C., Duclos, C., Gagneux‐Brunon, A., & Cédric Bousquet, B. (2023) · Journal of Medical Internet Research · doi:10.2196/37237 · Cited by 5
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Perini, M., & van Schie, H. T. (2024) · Politics and Governance · doi:10.17645/pag.8644 · Cited by 6
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BackgroundChimoyi, L., Mabuto, T., Dube, T., Ntombela, N., Nchachi, T., Tshisebe, D., Chetty-Makkan, C. M., & Setswe, G. (2021) · BMC Research Notes · doi:10.1186/s13104-021-05886-0 · Cited by 5
Yoshioka, T. (2022) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2021.100357 · Cited by 4
Pre2Pub—Tracking the Path From Preprint to Journal Article: Algorithm Development and Validation
Langnickel, L., Podorskaja, D., & Fluck, J. (2022) · Journal of Medical Internet Research · doi:10.2196/34072 · Cited by 3
Anantharam, P., Hoffman, A., Noonan, M., et al. (2020) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2020.487 · Cited by 4
Wijaya, G., Zakaria, F., & Ida, R. (2022) · Nyimak Journal of Communication · doi:10.31000/nyimak.v6i2.5854 · Cited by 4
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Altıntaş, V. (2025) · Applied Sciences · doi:10.3390/app15158300 · Cited by 6
Su, C. C., & Liu, J. (2025) · Nations and Nationalism · doi:10.1111/nana.70025 · Cited by 3
“Nationalism on Weibo reflected identity-making and exclusionary tendencies—manifesting as collective identity, in-group affection and out-group hostility— whereas on Twitter, quite differently, nationalism was often critical and directed at domestic governance failures (e.g., the US government's inaction during the pa…”
Karami, A., Zain, A., & Jamal, A. (2025) · Journal of Public Health · doi:10.1007/s10389-025-02639-2 · Cited by 3
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Grant, R., Addie, Y. O., & Aruah, D. E. (2024) · New Media & Society · doi:10.1177/14614448241227967 · Cited by 3
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Gies, L., Gogoi, M., Bayliss, C. D., et al. (2024) · Digital Health · doi:10.1177/20552076241228695 · Cited by 3
Use of Implementation Science Concepts in the Study of Misinformation: A Scoping Review
Bang, C., Carroll, K. A., Mistry, N. B., Presseau, J., Hudek, N., Yanikomeroglu, S., & Brehaut, J. (2024) · Health Education & Behavior · doi:10.1177/10901981241303871 · Cited by 2
Paridans, M., Monseur, J. J., Gillain, N., et al. (2024) · PLOS Global Public Health · doi:10.1371/journal.pgph.0004066 · Cited by 3
Fact-checking as a policy focus in the EU
Bleyer-Simon, K. (2025) · Medijske studije · doi:10.20901/ms.16.31.1 · Cited by 3
Butt, G. F., Hodson, J. A., Wallace, G. R., Rauz, S., & Murray, P. I. (2021) · BMJ Open Ophthalmology · doi:10.1136/bmjophth-2021-000854 · Cited by 3
Peña-y-Lillo, M. (2021) · World Medical & Health Policy · doi:10.1002/wmh3.486 · Cited by 3
Eventos adversos posteriores a la vacunación contra COVID-19: un estudio de corte transversal
Fuertes-Bucheli, J. F., Madrid-Bonilla, J. U., Rivas, A., Ordóñez-Londoño, E., Ruao-Bolaños, M. F., Chalparpue-Torres, J. J., Bermúdez-Nessim, A. M., Pineda, D. A. R., Silva, S. A., Pacheco, R., et al. (2022) · Revista de Investigación de la Universidad Norbert Wiener · doi:10.37768/unw.rinv.11.02.a0007 · Cited by 6
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Askim, J., & Renå, H. (2022) · Norsk statsvitenskapelig tidsskrift · doi:10.18261/nst.38.3.5 · Cited by 3
OZDEMİR, B. A., ÖZER, Y. C., & Çakmak, R. (2023) · Black Sea Journal of Public and Social Science · doi:10.52704/bssocialscience.1211609 · Cited by 2
Chew, H. E., & Chong, Y. K. (2023) · Mobile communication in Asia · doi:10.1007/978-94-024-2225-2_9 · Cited by 3
Quian, A., Elías, C., & Pérez, X. S. (2023) · El Profesional de la Informacion · doi:10.3145/epi.2023.jul.13 · Cited by 4
Semaan, J., Farah, C., Harb, R. A., Bardus, M., Germani, A., & Elhajj, I. H. (2023) · Digital Health · doi:10.1177/20552076231205280 · Cited by 3
Boy, F. (2023) · IEEE International Symposium on Technology and Society (ISTAS) · doi:10.1109/istas57930.2023.10305931 · Cited by 3
“…authorities armed with such a platform would have been able to leverage technology to identify the decrease in PWB [30] and the infodemic [32], [33] that unfolded and saturate online conversations and media outlets with corrective measures in the form of quality health and mental health…”
BackgroundCOVID-19 and Psychological Distress in Africa
Ndasauka, Y. (2023) · Routledge eBooks · doi:10.4324/9781003425861 · Cited by 3
The Ecosystem of Science Communication in the Post-Truth Era: Perspectives, Contexts, Dynamics
Achiam, M., Battisti, F., Beduini, F., Bondani, M., Bruno, M., Carrillo-Trueba, C., Chiofalo, M. L., Crescentini, N., Oven, P. Č., Dagen, T., et al. (2024) · Založba Univerze v Ljubljani (University of Ljubljana Press) eBooks · doi:10.51746/9789612972417 · Cited by 5
Okuhara, T., Terada, M., Okada, H., & Kiuchi, T. (2024) · JMIR Research Protocols · doi:10.2196/58040 · Cited by 2
Academic publishing in pandemic times
Preiser, W., & Preiser, R. (2020) · South African Journal of Science · doi:10.17159/sajs.2020/8803 · Cited by 3
Black Salve (or Escharotics). A Picture About an Unorthodox Medical Preparation in Oncology
Borkens, Y. (2023) · Skin Health and Disease · doi:10.1002/ski2.241 · Cited by 3
Analysis of COVID-19 Misinformation in Social Media using Transfer Learning
Dhankar, A., Samuel, H., Hassan, F., Farruque, N., Bolduc, F. V., & Zai͏̈ane, O. R. (2021) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai52525.2021.00141 · Cited by 3
The Role of (Dis)information in Society During the COVID-19 Pandemic
Czudy, Z., Matuszczak, M., Donderska, M., & Haczyński, J. (2021) · Problemy Zarządzania - Management Issues · doi:10.7172/1644-9584.92.3 · Cited by 2
Community Health Workers in the Covid-19 pandemic: scoping review
Méllo, L. M. B. D. D. E., dos Santos, R. C., & de Albuquerque, P. C. (2022) · Saúde em Debate · doi:10.1590/0103-11042022e125i · Cited by 3
Opinions on Homeopathy for COVID-19 on Twitter
Bopaiah, J., Garimella, K., & Kavuluru, R. (2022) · Web Science Conference · doi:10.1145/3501247.3531575 · Cited by 1
“So this is especially important in the context of the COVID-19 infodemic [7].”
BackgroundInfodemic Challenges During COVID-19 Pandemic and the Strategies to Deal with Them: A Review Article
Aslani, N., Behmanesh, A., Davoodi, F., Garavand, A., & Shams, R. (2022) · Archives of Clinical Infectious Diseases · doi:10.5812/archcid-127022 · Cited by 3
“Infodemic challenges during COVID-19 at different community levels (8, 16-42).”
BackgroundDeCillia, B., & Clark, B. (2023) · Facts & Frictions Emerging Debates Pedagogies and Practices in Contemporary Journalism · doi:10.22215/ff/v3.i1.10 · Cited by 3
Barbazza, E. S., Ivanković, D., Davtyan, K., et al. (2021) · medRxiv · doi:10.1101/2021.11.23.21266747 · Cited by 3
McManus, I. C., Woolf, K., Martin, C., Nellums, L. B., Guyatt, A. L., Melbourne, C., Bryant, L., Gupta, A., John, C., Tobin, M. D., et al. (2021) · medRxiv · doi:10.1101/2021.12.08.21267421 · Cited by 3
Spatio-Temporal Patterns of the SARS-CoV-2 Epidemic in GermanyPreprint
Diebner, H. H. (2023) · Preprints.org · doi:10.20944/preprints202306.1628.v1 · Cited by 3
Facilitators and Barriers to Vaccination Uptake in Pregnancy: A Qualitative Systematic ReviewPreprint
Razai, M. S., Mansour, R., Ravindran, K., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3312961/v1 · Cited by 3
Pfefferbaum, B., Tucker, P., Nitiéma, P., Van Horn, R. L., Varma, V., Varma, Y., Slaughter, A., & Newman, E. (2022) · Current Psychiatry Reports · doi:10.1007/s11920-022-01328-1 · Cited by 2
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Henry, T. L., & Olakunle, O. E. (2024) · Population Health Management · doi:10.1089/pop.2024.0031 · Cited by 2
Izcovich, A., Peiris, S., Gabriel Rada, G., Tortosa, F. G., Ragusa, M. A., & Revéiz, L. (2025) · Revista Panamericana de Salud Pública · doi:10.26633/rpsp.2025.41 · Cited by 2
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Petit, P., & Vuillerme, N. (2026) · Journal of Medical Internet Research · doi:10.2196/90153 · Cited by 2
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Fifolt, M., McCormick, L. C., Wilson, M. E., et al. (2022) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000001538 · Cited by 2
Dunleavy, V. O., Ahn, R. J., Mayo, D., & Grace, L. (2022) · American Behavioral Scientist · doi:10.1177/00027642221124660 · Cited by 2
“In addition, public trust can by undermined via the dilution of reputable sources in the face of constant evolving new scientific pandemic information (The Lancet Infectious Diseases, 2020).”
Knowledge, attitudes and perceptions of a patient population on the COVID-19 vaccine rollout
Purasram, M., Bangalee, V., Oosthuizen, F., & Moodley, R. (2022) · Health SA = SA Gesondheid · doi:10.4102/hsag.v27i0.1845 · Cited by 1
Valores Humanos e Crença em Informações Enganosas a Respeito da COVID-19
Daudt, R. S., Cúnico, S. D., & Barbosa, M. L. L. (2023) · Psico-USF · doi:10.1590/1413-82712023280406 · Cited by 2
Global matters of epidemiology and the ethical challenges of addressing the health of populations
Salerno, J., Weed, D. L., Pandey, C. M., Crabb, V., Peters, E. S., & Hlaing, W. M. (2024) · Annals of Epidemiology · doi:10.1016/j.annepidem.2024.01.003 · Cited by 2
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Aguirre‐Camacho, A., Gandía-Abellán, H., & Tirado-Muñoz, J. (2024) · Women · doi:10.3390/women4020015 · Cited by 2
Sharp, M. K., Logullo, P., Murphy, P., Baral, P., Burke, S., Grimes, D. R., Ryan, M., & Clyne, B. (2024) · HRB Open Research · doi:10.12688/hrbopenres.13895.2 · Cited by 2
Applying Evidential Pluralism to Justify Legal Responses to Online Fake News
Trofimov, A. (2024) · Philosophy of the Social Sciences · doi:10.1177/00483931241291103 · Cited by 2
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Ford, N. P., Hurwitz, H. H., Chou, R., Willet, V., Chu, M., Schwaber, M. J., Dunn, K., Toledo, J., Simniceanu, A., Moon, M., et al. (2024) · PLOS Global Public Health · doi:10.1371/journal.pgph.0003778 · Cited by 2
“Adherence to minimum quality standards is particularly important during emergencies if public health officials are to provide a source of credible and trustworthy advice amid an infodemic of some-times false or misleading information [4].”
BackgroundUncertainty, Sex and Sexuality during the Pandemic: Impact on Psychosocial Resilience
Banerjee, D., Mukhopadhyay, S., Tandon, A., & Rao, T. S. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.98231 · Cited by 3
Mental Health in the COVID-19 Pandemic and the Role of Social Media
Zhang, Q. (2021) · Springer eBooks · doi:10.1007/978-981-16-4675-1_7 · Cited by 2
Gangireddy, R., Chakraborty, S., Pakenham-Walsh, N. M., Nagarajan, B., Krishan, P., McGuire, R., Vaghela, G., & Sriharan, A. (2022) · JMIR Infodemiology · doi:10.2196/30167 · Cited by 2
Clark, D. A., Antwi‐Boasiako, G., Brook, R. K., et al. (2022) · Zoonoses and Public Health · doi:10.1111/zph.12981 · Cited by 2
“The Lancet Infectious Diseases.”
BackgroundInfluentialChan, H., Chu, S. K. W., Chu, S., et al. (2022) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.673 · Cited by 2
González, R. F., Estrada, A. R., & Salas, A. R. S. (2022) · Contratexto · doi:10.26439/contratexto2022.n038.5536 · Cited by 2
Renganathan, E., Guinto, R., Mahmood, J., et al. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1072823 · Cited by 2
Misinformation as a Determinant of Response to COVID 19
Deo, S., Mohanty, A., Sharma, D., Sharma, S., & Khisti, D. (2024) · International Journal of Public Opinion Research · doi:10.1093/ijpor/edae010 · Cited by 2
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Wahed, H. (2020) · International Journal of Law Government and Communication · doi:10.35631/ijlgc.5210015 · Cited by 2
Thumber, N., & Bhandari, P. (2022) · JMIR Pediatrics and Parenting · doi:10.2196/33457 · Cited by 2
Dupuy-Zini, A., Audeh, B., Gagneux‐Brunon, A., et al. (2022) · medRxiv · doi:10.1101/2022.02.14.22268832 · Cited by 2
“The general director of the World Health Organization declared in 2020 that the WHO must deal with the infodemic in addition to the pandemic [43] .”
BackgroundThe response to the COVID-19 pandemic trusted in pharmacovigilance to diminish communication risk
Quintero, G. A. (2022) · Therapeutic Advances in Drug Safety · doi:10.1177/20420986221088650 · Cited by 2
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dos Santos, A. C. S., & Calazans, D. C. C. (2022) · Springer eBooks · doi:10.1007/978-3-031-11570-7_31 · Cited by 1
Upadhyay, U., Dhar, E., Bomrah, S., Huang, Y., Uddin, M., Kabir, M. A., & Syed-Abdul, S. (2024) · Studies in health technology and informatics · doi:10.3233/shti231009 · Cited by 1
Impact of the SARS-CoV-2 Pandemic on Hospitalizations in an Acute Psychiatric Ward
Lorenzo, R. D., Reami, M., Dragone, D., Morgante, M., Panini, G., Ferri, P., & Rovesti, S. (2024) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s465858 · Cited by 1
Aguirre‐Camacho, A., Hidalgo, B., & Rash, J. A. (2024) · Vaccine · doi:10.1016/j.vaccine.2024.126507 · Cited by 1
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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