The DOI matches its Crossref record.
How to fight an infodemic
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Under these current plausible COVID-19 vaccine acceptance rates, possible levels of existing protective immunity-though it is unclear whether post-infection immunity confers long-term immunity 29 and the rapidly evolving nature of misinformation surrounding the pandemic 23,30 , it is unclear whether vaccination will reach the levels required for herd immunity.”
From Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA (2021) · cites this paper as [30]
The cited source says what the claim attributes to it.
In the citing paper
“In addition to the physical health impacts of COVID-19, there is a rapid amplification of both accurate and inaccurate information on digital platforms worldwide [3].”
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“While accessible, non-visual techniques to present a variety of data graphics have largely been investigated in research [43,92,93,130,134], few have been translated to standard web tools for use in practice.”
From The Accessibility of Data Visualizations on the Web for Screen Reader Users: Practices and Experiences During COVID-19 (2023) · cites this paper as [130]
Experimental — accuracy not yet measuredIn the citing paper
“Public support for policies to control the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is being undercut by misinformation, leading to the World Health Organization's 'infodemic' declaration (6).”
From Misinformation in and about science (2021) · cites this paper as [6]
In the citing paper
“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 [59]
In the citing paper
“In this study, we show that information dynamics tailored to alter individuals' perceptions and, consequently, their behavioral response, is able to drive collective attention 12 towards false 13,14 or inflammatory 15 content, a phenomenon named infodemics [16][17][18][19] , sharing similarities with more traditional epidemics and spreading phenomena [20][21][22] .”
From Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics (2020) · cites this paper as [12]
In the citing paper
“Lacking a developed framework, tech companies have fumbled their way through the ongoing coronavirus pandemic, unable to stem the “infodemic” of misinformation”
From Stewardship of global collective behavior (2021) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Still being checked.
Cited by
Sorted by citations
Items 701–800 of 1,000
Infodemia, desinformação, pós-verdade
Araújo, C. A. Á. (2021) · The International Review of Information Ethics · doi:10.29173/irie405 · Cited by 14
Losing the battle over best-science guidance early in a crisis: COVID-19 and beyond
Illari, L., Restrepo, N. J., & Johnson, N. F. (2022) · Science Advances · doi:10.1126/sciadv.abo8017 · Cited by 13
Betsch, C., Korn, L., Burgard, T., Gaissmaier, W., Felgendreff, L., Eitze, S., Sprengholz, P., BOHM, R. M., Stollorz, V., Ramharter, M., et al. (2021) · Eurosurveillance · doi:10.2807/1560-7917.es.2021.26.42.2001900 · Cited by 15
Most Common Social Media Platforms in Saudi Arabia for Sharing COVID-19 Medical Information
Alotaibi, K., & Alotiby, A. A. (2022) · Saudi Journal of Health Systems Research · doi:10.1159/000523728 · Cited by 14
Language policies for social justice — Translation, interpreting, and access
Monzó-Nebot, E., & Mellinger, C. D. (2022) · Just Journal of Language Rights & Minorities Revista de Drets Lingüístics i Minories · doi:10.7203/just.1.25367 · Cited by 14
Pendl, D., Maitz, K., & Gasteiger‐Klicpera, B. (2023) · Journal of Public Health · doi:10.1007/s10389-023-01836-1 · Cited by 14
Ferrara, M., Bertozzi, G., Volonnino, G., Fazio, A. D., Fazio, N. D., Arcangeli, M., Russa, R. L., & Frati, P. (2023) · Vaccines · doi:10.3390/vaccines11030630 · Cited by 14
Hagan, J. E., Quansah, F., Frimpong, J. B., Agormedah, E. K., Nugba, R. M., Srem‐Sai, M., & Schack, T. (2023) · Psychology in the Schools · doi:10.1002/pits.22942 · Cited by 15
Fullerton, M. M., Pateman, M., Hasan, H., Doucette, E. J., Cantarutti, S., Koyama, A., Weightman, A. M., Tang, T., Coakley, A., Currie, G. R., et al. (2023) · BMC Public Health · doi:10.1186/s12889-023-16258-7 · Cited by 14
van Doorn, M. (2023) · Inquiry · doi:10.1080/0020174x.2023.2289137 · Cited by 17
Haupt, M. R., Chiu, M., Chang, J., Li, Z., Cuomo, R. E., & Mackey, T. K. (2023) · PLoS ONE · doi:10.1371/journal.pone.0295414 · Cited by 17
Intersections in the digital society: cancel culture, fake news, and contemporary public discourse
Picarella, L. (2024) · Frontiers in Sociology · doi:10.3389/fsoc.2024.1376049 · Cited by 14
The sequel to COVID-19: the antithesis to life
Bhandari, S., Shaktawat, A. S., Patel, B., Dube, A., Kakkar, S., Tak, A., Gupta, J., & Rankawat, G. (2020) · Journal of Ideas in Health · doi:10.47108/jidhealth.vol3.issspecial1.69 · Cited by 15
Understanding and fighting disinformation and fake news: Towards an information behavior framework
Agarwal, N. K., & Alsaeedi, F. (2020) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.327 · Cited by 14
Other ways of communicating the pandemic - memes and stickers against COVID-19: a systematic review
Moya‐Salazar, J., Cañari, B., Gómez-Sáenz, L., & Contreras‐Pulache, H. (2021) · F1000Research · doi:10.12688/f1000research.51541.1 · Cited by 14
Behavior Guidance during the Covid-19 Pandemic: Health Literacy as a Weapon against the Virus
Araújo, R., Lopes, F., Magalhães, O. E., Sá, A., & Aguiar, A. (2021) · Health Communication · doi:10.1080/10410236.2021.1956070 · Cited by 14
Nong, P., Raj, M., Trinidad, M. G., Rowe, Z. E., & Platt, J. E. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.114379 · Cited by 16
Gabrielli, F., & Irtelli, F. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.95017 · Cited by 17
Alpert, J. M., Campbell‐Salome, G., Gao, C., Markham, M. J., Murphy, M. C., Harle, C. A., Paige, S. R., Krenz, T., & Bylund, C. L. (2021) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2021.0316 · Cited by 14
Li, T., Hu, Y., Xia, L., Wen, L., Ren, W., Xia, W., Wang, J., Cai, W., & Chen, L. (2021) · BMC Public Health · doi:10.1186/s12889-021-12277-4 · Cited by 14
Cheng, C. Y., Zhang, W. J., & Zhang, Q. (2022) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/13548565221102592 · Cited by 14
Social Media, Anxiety and COVID-19 Lockdown Measurement Compliance
Rodríguez-Besteiro, S., Beltrán-Velasco, A. I., Tornero-Aguilera, J. F., Martínez–González, M. B., Navarro-Jiménez, E., Sepulveda, R. A. Y., & Clemente‐Suárez, V. J. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20054416 · Cited by 17
Trust in and Use of COVID-19 Information Sources Differs by Health Literacy among College Students
Chen, X., McMaughan, D. J., Li, M., Kreps, G. L., Ariati, J., Han, H., Rhoads, K. E., Mahaffey, C. C., & Miller, B. M. (2023) · Healthcare · doi:10.3390/healthcare11060831 · Cited by 14
Kambakamba, P., Geoghegan, J., & Hoti, E. (2020) · British journal of surgery · doi:10.1002/bjs.11785 · Cited by 14
Schoultz, M., Leung, J., Bonsaksen, T., Ruffolo, M. C., Thygesen, H., Price, D., & Geirdal, A. Ø. (2021) · Healthcare · doi:10.3390/healthcare9060735 · Cited by 17
Kang, E., Ju, H., Kim, S., & Choi, J. (2024) · BMC Public Health · doi:10.1186/s12889-024-18403-2 · Cited by 14
Patterns of Online Information Seeking and Avoidance about SARS-CoV-2 and COVID-19
Link, E., Rosset, M., & Freytag, A. (2022) · European Journal of Health Communication · doi:10.47368/ejhc.2022.103 · Cited by 13
The Impact of Government Social Media Information Quality on Public Panic During the Infodemic
Zhai, S., Li, Y. J., & Chi, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.908213 · Cited by 17
Mangrio, E., Zdravkovic, S., & Michael, S. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.811974 · Cited by 13
Song, J. E., Ngo, N. T., Vigneron, J. G., Lee, A., Sust, S., Martin, A., & Yuen, E. Y. (2022) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-022-00508-4 · Cited by 13
Eika, E., & Sandnes, F. E. (2022) · Scientometrics · doi:10.1007/s11192-022-04521-4 · Cited by 15
Rondović, G., Djordjevic, D., Udovičić, I., Stanojević, I., Zeba, S., Abazovic, T., Vojvodić, D., Abazović, D., Khan, W. S., & Šurbatović, M. (2022) · Biomedicines · doi:10.3390/biomedicines10102620 · Cited by 14
Tabak, B. M., Froner, M. B., Corrêa, R. S., & Silva, T. C. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20206951 · Cited by 16
Manufacturing Refused Knowledge in the Age of Epistemic Pluralism
Neresini, F., Agodi, M. C., Crabu, S., & Tosoni, S. (2024) · Springer eBooks · doi:10.1007/978-981-99-7188-6 · Cited by 13
Unveiling Coronasomnia: Pandemic Stress and Sleep Problems During the COVID-19 Outbreak
Chen, S., & Cheng, C. (2024) · Nature and Science of Sleep · doi:10.2147/nss.s459945 · Cited by 13
Prevalence and intervention strategies of health misinformation among older adults: A meta-analysis
Hu, B., Liu, X., Lu, C. F., & Ju, X. (2024) · Journal of Health Psychology · doi:10.1177/13591053241298362 · Cited by 15
Fan, L., Li, L., & Hemphill, L. (2024) · Journal of Medical Internet Research · doi:10.2196/52997 · Cited by 14
Infodemic in the Global Coronavirus Crisis
Gavgani, V. Z. (2020) · Depiction of Health · doi:10.34172/doh.2020.01 · Cited by 13
DISINFORMATION’S SOCIETAL IMPACT: BRITAIN, COVID, AND BEYOND
Colley, T., Granelli, F., & Althuis, J. (2020) · Defence Strategic Communications · doi:10.30966/2018.riga.8.3 · Cited by 11
The COVID-19 pandemic: risks to psychological well-being and mental health
Yuryeva, L., & Шустерман, Т. Й. (2020) · Ukrains kyi Visnyk Psykhonevrolohii · doi:10.36927/2079-0325-v28-is2-2020-1 · Cited by 13
The Role of Social Media during the COVID-19 Pandemic
Ong, E. K., Lim, C. H., & Wong, A. J. (2020) · Annals of the Academy of Medicine Singapore · doi:10.47102/annals-acadmedsg.202080 · Cited by 13
Kaveh-Yazdy, F., & Zarifzadeh, S. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104309 · Cited by 15
Revising the “Hype Pipeline” Model in Scientific Communication
Taschner, N. P., de Almeida, L. G., & Orsi, C. (2021) · Frontiers in Communication · doi:10.3389/fcomm.2021.601023 · Cited by 13
Hoyt, D. L., Hiserodt, M., Gold, A. K., Milligan, M. A., & Otto, M. W. (2021) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000001434 · Cited by 13
Lin, Y.-C. J. (2022) · Chinese Journal of Communication · doi:10.1080/17544750.2021.2011343 · Cited by 17
Of seekers and nonseekers: Characteristics of Covid‐19‐related information‐seeking behaviors
Link, E., Baumann, E., Czerwinski, F., Rosset, M., & Suhr, R. (2022) · World Medical & Health Policy · doi:10.1002/wmh3.509 · Cited by 13
Factors Influencing COVID-19 Vaccine Uptake among Nepali People in the UK: A Qualitative Study
Simkhada, P. P., Tamang, P. D., Timilsina, L., Simkhada, B., Bissell, P., van Teijlingen, E., Sah, S. K., & Wasti, S. P. (2022) · Vaccines · doi:10.3390/vaccines10050780 · Cited by 13
Asustar para desestabilizar: desinformación sobre la COVID-19 en Argentina y España
Tarullo, R., & Gamir-Ríos, J. (2022) · Cuadernos info · doi:10.7764/cdi.52.42915 · Cited by 13
Zhan, X., Zhang, K., Ge, L., Huang, J., Zhang, Z., Wei, L., Sun, G., Liu, C., & Zhang, Z. (2022) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3217419 · Cited by 13
The weaponization of web archives: Data craft and COVID-19 publics
Acker, A., & Chaiet, M. (2020) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-41 · Cited by 13
Responding to Covid-19: Emergency Laws and the Return to Government in South Africa
Kotzé, K. (2020) · Javnost - The Public · doi:10.1080/13183222.2021.1844503 · Cited by 13
Socio-economic impact on epilepsy outside of the nation-wide COVID-19 pandemic area
Neshige, S., Aoki, S., Shishido, T., Morino, H., Iida, K., & Maruyama, H. (2021) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2021.107886 · Cited by 15
Lee, T., Johnson, T. J., & Weaver, D. H. (2022) · Mass Communication & Society · doi:10.1080/15205436.2022.2046103 · Cited by 13
Chisita, C. T., & Ngulube, P. (2022) · Jàmbá Journal of Disaster Risk Studies · doi:10.4102/jamba.v14i1.1197 · Cited by 15
COVID-19 infodemic on Facebook and containment measures in Italy, United Kingdom and New Zealand
Etta, G., Galeazzi, A., Hutchings, J. R., Smith, C. S. J., Conti, M., Quattrociocchi, W., & Riva, G. V. D. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267022 · Cited by 15
Adhikari, B., Poudel, L., Thapa, T. B., Neupane, D., Maharjan, P., Hagaman, A. K., Bhandari, N., Katuwal, N., Shrestha, B., Maharjan, R., et al. (2022) · Dialogues in Health · doi:10.1016/j.dialog.2022.100090 · Cited by 13
Infodemiological study on COVID-19 epidemic and COVID-19 infodemic (Preprint)Preprint
Zhi, H., Yang, Z., Li, Q., Zhang, A., & Huang, Y. (2020) · doi:10.2196/preprints.19135 · Cited by 13
Analyzing Media Dependency During Crisis. A case of COVID-19 in MalaysiaPreprint
Kasirye, F. (2021) · doi:10.31124/advance.15105678 · Cited by 13
Harambam, J., & Voss, E. (2023) · Minerva · doi:10.1007/s11024-023-09511-1 · Cited by 16
Taba, M., Ayre, J., McCaffery, K. J., Vassilenko, D., Ma, I. C. K., Haynes, T., Leask, J., Wilson, A. J., & Bonner, C. (2025) · Health Expectations · doi:10.1111/hex.70203 · Cited by 12
Sosyal Medyada Etik, Bilgi Manipülasyonu ve Siber Güvenlik
TEKKE, A., & Aybala, L. A. L. E. (2021) · Akademik İncelemeler Dergisi · doi:10.17550/akademikincelemeler.958167 · Cited by 12
Xue, B., Wu, Y., Zheng, X., Xue, Y., Dong, F., Xiao, S., Yin, M., Wang, M., Liu, Y., & Zhang, C. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.981649 · Cited by 12
Shnayien, M.-L. (2022) · Digitale Gesellschaft · doi:10.1515/9783839463062 · Cited by 12
Richard, C., Lussier, M., Millette, B., & Tanoubi, I. (2023) · Medical Education Online · doi:10.1080/10872981.2023.2200586 · Cited by 12
Ishikawa, H., Ogawa, R., Otsuki, A., Saito, J., Yaguchi-Saito, A., Kuchiba, A., Fujimori, M., Fukuda, Y., Shimazu, T., INFORM Study Group, et al. (2023) · BMC Public Health · doi:10.1186/s12889-023-15897-0 · Cited by 14
The Puzzle of Misinformation: Exposure to Unreliable Content is Higher among the Better Informed
Zhou, A. Y., Tian, Y., & González‐Bailón, S. (2022) · New Media & Society · doi:10.1177/14614448231196863 · Cited by 13
Haupt, M. R., Yang, L., Purnat, T. D., & Mackey, T. K. (2024) · JMIR Infodemiology · doi:10.2196/60678 · Cited by 18
An Analysis on COVID-19 Disinformation Triangle in Indonesia
Yustitia, S., & Ashrianto, P. D. (2020) · Komunikator · doi:10.18196/jkm.122040 · Cited by 14
Sathianathan, S., Scoy, L. J. V., Sakya, S. M., Miller, E. L., Snyder, B. L., Wasserman, E. J., Chinchilli, V. M., Garman, J. C., & Lennon, R. P. (2020) · American Journal of Health Promotion · doi:10.1177/0890117120982416 · Cited by 12
Kadykalo, A. N., Haddaway, N., Rytwinski, T., & Cooke, S. J. (2021) · Ecological Solutions and Evidence · doi:10.1002/2688-8319.12041 · Cited by 11
Rožukalne, A., Kleinberga, V., Tīfentāle, A., & Strode, I. (2022) · Social Sciences · doi:10.3390/socsci11030123 · Cited by 12
Huang, K., Wang, X., Luo, S., Su, Q., & Li, L. (2022) · Data and Information Management · doi:10.1016/j.dim.2022.100005 · Cited by 12
Yang, H., Chang, C.-C., Tseng, P.-L., Lai, H., Tasi, J.-S., Huang, W.-H., Fan, Y., Weng, C.-X., & Tung, C.-Y. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03252-7 · Cited by 12
Li, Y., Lin, Z., & Wu, Y. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013534 · Cited by 17
Egala, S. B., Liang, D., & Boateng, D. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3225182 · Cited by 14
(Des)infodemia: lecciones de la crisis de la covid-19
Quian, A. (2023) · Revista de Ciencias de la Comunicación e Información · doi:10.35742/rcci.2023.28.e274 · Cited by 12
Reiriz, M., González, M. D., Rodríguez-Expósito, B., Uceda, S., & Beltrán-Velasco, A. I. (2023) · Sustainability · doi:10.3390/su15043087 · Cited by 17
Ma, N., Yu, G., Jin, X., & Zhu, X. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1097796 · Cited by 15
Sambah, F., Quansah, F., Srem‐Sai, M., Frimpong, J. B., Agormedah, E. K., Ankomah, F., & Hagan, J. E. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17936 · Cited by 21
Zolbanin, H. M., Zadeh, A. H., & Davazdahemami, B. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104486 · Cited by 12
Topic Modelling of Croatian News During COVID-19 Pandemic
Bogović, P. K., Meštrović, A., Beliga, S., & Martinčić-Ipšić, S. (2021) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.23919/mipro52101.2021.9597125 · Cited by 12
Ugas, M. A., Samoil, D., Avery, L. M., Berlín, A., Giuliani, M., Papadakos, T. J., Quartey, N. K., & Papadakos, J. (2021) · Cancer · doi:10.1002/cncr.33976 · Cited by 11
Mental health of students amidst the COVID-19 pandemic: An empirical study
Alam, M. A., Uddin, A. I., Uddin, M. A., Begum, S., Nahar, H., Raihan, T., & Khan, A. G. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09111 · Cited by 13
Ebrahim, S. (2022) · Health SA Gesondheid · doi:10.4102/hsag.v27i0.1683 · Cited by 19
Raising the Flag: Monitoring User Perceived Disinformation on Reddit
Achimescu, V., & Chachev, P. D. (2020) · Information · doi:10.3390/info12010004 · Cited by 12
Infodemiological study on COVID-19 epidemic and COVID-19 infodemicPreprint
Zhi, H., Yang, Z., Li, Q., Zhang, A., & Huang, Y. (2020) · doi:10.21203/rs.3.rs-18591/v1 · Cited by 12
Does Cyberchondria Mediate the Effect of COVID-19 Fear on the Stress?
Durmuş, A., Deniz, S., Akbolat, M., & Çimen, M. (2022) · Social Work in Public Health · doi:10.1080/19371918.2021.2014013 · Cited by 12
Cyberchondria, Covid-19 phobia, and well-being: a relational study on teachers
Karakaş, N., Tekin, Ç. S., Bentlı, R., & Demir, E. (2022) · La Medicina del Lavoro · doi:10.23749/mdl.v113i3.12661 · Cited by 11
Bravo, P., Martinez‐Pereira, A., Gonzalez, L. F., & Dois, A. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-067531 · Cited by 11
Social media use, uncertainty, and negative affect in times of pandemic crisis
Wu, Y., An, Z., Lin, Y., Zhang, J., Jing, B., & Peng, K. (2023) · Digital Health · doi:10.1177/20552076231181227 · Cited by 13
Infodemic: Challenges and solutions in topic discovery and data process
Zhang, J., Pan, Y., Lin, H., Sun, Z., Wu, P., & Tu, J. (2023) · Archives of Public Health · doi:10.1186/s13690-023-01179-z · Cited by 11
Papa, R., Sixsmith, J., Giammarchi, C., Lippke, S., McKenna, V. B., Furia, L. D., Ceravolo, M. G., & de Winter, A. (2023) · BMC Medical Education · doi:10.1186/s12909-023-04608-3 · Cited by 13
A structured literature review of the health infodemic on social media in Africa
Hove, C., & Cilliers, L. (2023) · Jàmbá Journal of Disaster Risk Studies · doi:10.4102/jamba.v15i1.1484 · Cited by 11
Peres, F. (2024) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232024291.02412023 · Cited by 36
Liu, J., He, L., Wang, S., He, Y., & Zhu, L. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2314746 · Cited by 12
Digital health literacy among primary and secondary school teachers—a quantitative study
Rangnow, P., Fischer, L. M., Hartmann, A., Renninger, D., Stauch, L., Okan, O., & Dadaczynski, K. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1334263 · Cited by 11
Zhang, Z., Cheng, Z., Gu, T., & Zhang, Y. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104345 · Cited by 17
Evaluation of a massive open online course for just-in-time training of healthcare workers
Strehlow, M. C., Johnston, J. S., Aluri, K. Z., Prober, C. G., Acker, P. C., Patil, A. S., Mahadevan, A., & Mahadevan, S. V. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1395931 · Cited by 12
Unveiling the hidden agenda: Biases in news reporting and consumption
Galeazzi, A., Peruzzi, A., Brugnoli, E., Delmastro, M., & Zollo, F. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae474 · Cited by 14
Metadata
- Authors
- Zarocostas, J.
- Corresponding author
- Zarocostas, John
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 395
- Issue
- 10225
- Pages
- 676
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC7133615
- OpenAlex
- W3007198457
- Cited by
- 2,344
- References
- 0
- Citations by year
- 2026: 119 · 2025: 187 · 2024: 253 · 2023: 385 · 2022: 499 · 2021: 564 · 2020: 337
- FWCI
- 597.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (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 › Communication › Public Relations and Crisis Communication
- Keywords
- infodemic, COVID-19 misinformation, risk communication, social media, public health communication, rumors, health emergency preparedness, public trust in health information, public health emergency of international concern
- MeSH terms
- COVID-19, Humans, Pneumonia, Viral, Global Health, World Health Organization, Coronavirus Infections, Pandemics
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 ›
Are you an author, or do you see a problem with this page? Request a review