(DIS)INFODEMIC: LESSONS FROM THE COVID-19 CRISIS
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Abstract
Introduction: The COVID-19 crisis has been accompanied by a parallel phenomenon of misinformation, known as infodemic and disinfodemic, complicating the management of the health crisis. This article provides a theoretical, conceptual, and exploratory analysis of these phenomena within the context of a public health emergency, framed within bioinformationalism. Methodology: A conceptual review is carried out to define and understand infodemic and disinfodemic, assessing their impact on public health, democracies, and historical truth, as well as their relationship with the rise of viral conspiracy theories, fake news, and discredit campaigns against scientific-health authorities. Results: The spread of misinformation and disinformation during the pandemic has posed significant challenges in controlling the disease, protecting democracies, and preserving historical truth. Discussion: It discusses whether responses to the infodemic and disinfodemic have been late and analyzes the crucial role of scientists and journalists in combating misinformation and guiding the public towards evidence-based decisions. Conclusions: Fighting the infodemic and disinfodemic is fundamental to resolving the COVID-19 health crisis. Collaboration between scientists, journalists, and health authorities is vital to restoring public trust in science and democratic institutions.
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References
Abdill, R. J. y Blekhman R. (2019). Meta-Research: Tracking the popularity and outcomes of all bioRxiv preprints. eLife, 8. https://doi.org/10.7554/eLife.45133
Baptista, J. P. y Gradim, A. (2021). ‘Brave New World’ of Fake News: How it Works. Javnost - The Public, 28(4), 426-443. https://doi.org/10.1080/13183222.2021.1861409
Bauchner, H. (2017). The rush to publication: an editorial and scientific mistake. JAMA, 318(12), 1109-1110. https://doi.org/10.1001/jama.2017.11816
Bentzen, N. (2020). The evolving consequences of the coronavirus ‘infodemic’: How viral false coronavirus-related information affects people and societies across the world. EPRS: European Parliamentary Research Service.
Bernal-Triviño, A. (2020). Habits and Feelings Regarding COVID-19 News Coverage During Lockdown in Spain. Tripodos. Blanquerna School of Communication and International Relations-URL, 49, 169-183. https://doi.org/10.51698/tripodos.2020.49p169-183
Borsetti, A., Scarpa, F., Maruotti, A., Divino, F., Ceccarelli, G., Giovanetti, M. y Ciccozzi, M. (2021). The unresolved question on COVID‐19 virus origin: The three cards game? Journal of Medical Virology, 94, 1257-1260. https://doi.org/10.1002/jmv.27519
Brierley, L., Nanni, F., Polka, J. K. Dey, G., Pálfy, M., Fraser, N. y Coates J. A. (2022) Tracking changes between preprint posting and journal publication during a pandemic. PLoS Biology 20(2). https://doi.org/10.1371/journal.pbio.3001285
Costa-Sánchez, C. y López-García, X. (2020). Comunicación y crisis del coronavirus en España. Primeras lecciones. El Profesional de la Información, 29(3). https://doi.org/10.3145/epi.2020.may.04
Daraz, L., Morrow, A. S., Ponce, O. J. et al. (2019). Can Patients Trust Online Health Information? A Meta-narrative Systematic Review Addressing the Quality of Health Information on the Internet. Journal of General Internal Medicine, 34, 1884-1891. https://doi.org/10.1007/s11606-019-05109-0
Davison, K. (1996). The quality of dietary information on the World Wide Web. Journal of the Canadian Dietetic Association, 57, 137-141.
Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A. y Larson H. (2020). The pandemic of social media panic travels faster than the COVID-19 outbreak. Journal of Travel Medicine, 27(3). https://doi.org/10.1093/jtm/taaa031
de Sola-Pueyo, J. (2021). Science in the media: the scientific community’s perception of the COVID-19 media coverage in Spain. Journal of Science Communication, 20(02). https://doi.org/10.22323/2.20020208
Dhanani, L. Y. y Franz, B. (2021). Why public health framing matters: An experimental study of the effects of COVID-19 framing on prejudice and xenophobia in the United States. Social Science & Medicine, 269. https://doi.org/10.1016/j.socscimed.2020.113572
Dinis-Oliveira, R. J. (2020). COVID-19 research: pandemic versus ‘paperdemic’, integrity, values and risks of the ‘speed science’. Forensic Sciences Research, 5(2), 174-187. https://doi.org/10.1080/20961790.2020.1767754
Elías, C. (2020). Expertos/as científicos/as y comunicación gubernamental en la era de las fake news: Análisis de la estrategia informativa del COVID-19 en España. Revista Prisma Social, 31, 6-39.
Eysenbach, G. (2002). Infodemiology: The epidemiology of (mis)information. American Journal of Medicine, 113(9), 763-765. https://bit.ly/3ANsKV5
Eysenbach, G. (2020). How to Fight an Infodemic: The Four Pillars of Infodemic Management. Journal of medical Internet research, 22(6), e21820. https://doi.org/10.2196/21820
Faria, N. R., Rambaut, A., Suchard, M. A., Baele, G., Bedford, T., et al. (2014). The early spread and epidemic ignition of HIV-1 in human populations. Science, 346, 56-61. https://doi.org/10.1126/science.1256739
Ferrara, E., Varol, O., Davis, C., Menczer, F. y Flammini, A. (2016). The rise of social bots. Communications of the ACM, 59(7), 96-104. https://doi.org/10.1145/2818717
Feuer, W. (2021). WHO says pandemic has caused more ‘mass trauma’ than WWII. CNBC. https://cnb.cx/3Vs4krY
Flanagin, A; Fontanarosa, P. B. y Bauchner, H. (2020). Preprints Involving Medical Research—Do the Benefits Outweigh the Challenges? JAMA, 324(18), 1840-1843. https://doi.org/10.1001/jama.2020.20674
Fleerackers, A., Riedlinger, M., Moorhead, L., Ahmed, R. y Alperin, J. P. (2022). Communicating Scientific Uncertainty in an Age of COVID-19: An Investigation into the Use of Preprints by Digital Media Outlets. Health Communication, 37(6), 726-738. https://doi.org/10.1080/10410236.2020.1864892
Fox, F. (2020, 2 de julio). What should press officers advise on preprints during a pandemic? Science Media Centre. https://bit.ly/3U9xTh4
Fox, J. (2020). ‘Fake news’ – the perfect storm: historical perspectives. Historical Research, 93(259), 172-187. https://doi.org/10.1093/hisres/htz011
Francés-Lecumberri, P. (2020). Expresiones punitivas en la emergencia de la COVID-19. En: Rivera Beiras, I. (Coord.), Pandemia: Derechos Humanos, Sistema Penal y Control Social (en tiempos de coronavirus), 93-109. Tirant Humanidades.
Fraser, N., Brierley, L., Dey, G., Polka, J. K., Pálfy, M., Nanni, F., et al. (2021). The evolving role of preprints in the dissemination of COVID-19 research and their impact on the science communication landscape. PLoS Biology, 19(4). https://doi.org/10.1371/journal.pbio.3000959
Freeman, D., Waite, F., Rosebrock, L., Petit, A., Causier, C., East, A. et al. (2022). Coronavirus conspiracy beliefs, mistrust, and compliance with government guidelines in England. Psychological Medicine, 52(2), 251-263. https://doi.org/10.1017/S0033291720001890
Frutos, R., Pliez, O., Gavotte, L. y Devaux, C. A. (2022a). There is no ‘origin’ to SARS-CoV-2. Environmental Research, 207. https://doi.org/10.1016/j.envres.2021.112173
Frutos, R.; Javelle, E.; Barberot, C.; Gavotte, L.; Tissot-Dupont, H. y Devaux, C.A. (2022b). Origin of COVID-19: Dismissing the Mojiang mine theory and the laboratory accident narrative. Environmental Research, 204,. https://doi.org/10.1016/j.envres.2021.112141
Fuhrer, J., Cova, F., Gauvrit, N. y Dieguez, S. (2021). Pseudoexpertise: A Conceptual and Theoretical Analysis. Frontiers in Psychology, 12, 732666. https://doi.org/10.3389/fpsyg.2021.732666
Gallotti, R., Valle, F., Castaldo, N., Sacco, P. y De Domenico, M. (2020). Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics. Nature Human Behaviour, 4, 1285-1293. https://doi.org/10.1038/s41562-020-00994-6
Gautam, S. y Hens, L. (2020). COVID-19: impact by and on the environment, health and economy. Environment, Development and Sustainability, 22, 4953-4954. https://doi.org/10.1007/s10668-020-00818-7
Ghebreyesus, T. A. y Swaminathan, S. (2020). Scientists are sprinting to outpace the novel coronavirus. The Lancet, 395(10226), 762-764. https://bit.ly/3GSOvXd
Giuffrida, A. y Willsher, K. (2020, 31 enero). Outbreaks of xenophobia in west as coronavirus spreads. The Guardian. https://bit.ly/3VygTSq
Gómez, M. V. y Ferrer, I. (2021, 21 noviembre). Graves disturbios en Bélgica y en Países Bajos contra las restricciones por la pandemia. El País. https://bit.ly/3ANu5v8
Gonçalves-Sá, J. (2020). In the fight against the new coronavirus outbreak, we must also struggle with human bias. Nature Medicine, 26. https://bit.ly/3VwrkWU
Gutérres, A. (2020, 14 de abril). This is a time for science and solidarity. https://bit.ly/3OU04zD
Hartman, R. O., Dieckmann, N. F., Sprenger, A. M., Stastny, B. J. y DeMarree, K. G. (2017). Modeling attitudes toward science: development and validation of the credibility of science scale. Basic and Applied Social Psychology, 39(6), 358-371. https://doi.org/10.1080/01973533.2017.1372284
Henley, J. y McIntyre, N. (2020). Survey uncovers widespread belief in 'dangerous' COVID conspiracy theories. The Guardian. https://bit.ly/3VnS4sI
Holt, L. F., Kjærvik, S. L. y Bushman, B. J. (2022). Harm and shaming through naming: Examining why calling the coronavirus, ‘COVID-19 virus,’ not the ‘chinese virus,’ matters. Media Psychology. https://doi.org/10.1080/15213269.2022.2034021
Horbach, S. P. J. M. (2021). No time for that now! Qualitative changes in manuscript peer review during the COVID-19 pandemic. Research Evaluation, 30(3), 231-239. https://doi.org/10.1093/reseval/rvaa037
Hswen, Y., Xu, X., Hing, A., Hawkins, J. B., Brownstein, J. S. y Gee, G. C. (2021). Association of ‘#COVID19’ versus ‘#chinesevirus’ with anti-asian aentiments on Twitter: March 9-23, 2020. American Journal of Public Health, 111(5), 956-964. https://doi.org/10.2105/AJPH.2021.306154
Inskeep, S. (2020, 27 de marzo). Asian Americans are blamed by some for COVID-19 outbreak. National Public Radio. https://n.pr/3ii4bcn
International Energy Agency. (2020, 30 de abril). Global energy demand to plunge this year as a result of the biggest shock since the Second World War. https://bit.ly/3EHZ9xb
Introne, J., Gokce Yildirim, I., Iandoli, L., DeCook, J. y Elzeini, S. (2018). How People Weave Online Information Into Pseudoknowledge. Social Media + Society, 4(3). https://doi.org/10.1177/2056305118785639
Ioannidis, J .P. A. (2020). Coronavirus disease 2019: The harms of exaggerated information and non-evidence-based measures. European Journal of Clinical Investigation, 50(4). https://doi.org/10.1111/eci.13222
Islam, M. S., Sarkar, T., Khan, S. H., Mostofa Kamal, A., Hasan, S. M. M., et al. (2020). COVID-19-Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis. The American Journal of Tropical Medicine and Hygiene, 103(4), 1621-1629. https://doi.org/10.4269/ajtmh.20-0812
Jaiswal, J., LoSchiavo, C. y Perlman, D.C. (2020). Disinformation, Misinformation and Inequality-Driven Mistrust in the Time of COVID-19: Lessons Unlearned from AIDS Denialism. AIDS and Behavior, 24, 2776-2780. https://bit.ly/3F5EaWF
Johansson, M. A., Reich, N. G., Meyers, L. A. y Lipsitch, M. (2018). Preprints: An underutilized mechanism to accelerate outbreak science. PLoS Medicine, 15(4). https://doi.org/10.1371/journal.pmed.1002549
Johnson, B. (2020, 17 de marzo). Prime Minister's statement on coronavirus (COVID-19). GovUk. https://bit.ly/3H6pE2v
Jolley, D. y Douglas, K. M. (2014). The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions. PLoS ONE, 9(2), e89177. https://doi.org/10.1371/journal.pone.0089177
Jolley, D. y Lamberty, P. (2020). Coronavirus is a breeding ground for conspiracy theories, here's why that's a serious problem. The Conversation. https://bit.ly/3GP8ypF
Khatri, P., Singh, S. R., Belani, N. K., Yeong, Y. L., Lohan, R., Lim, Y. W. y Teo, W. Z. (2020). YouTube as source of information on 2019 novel coronavirus outbreak: a cross sectional study of English and Mandarin content. Travel Medicine and Infectious Disease, 35. https://doi.org/10.1016/j.tmaid.2020.101636
Kouzy, R., Abi Jaoude, J., Kraitem, A., El Alam, M. B., Karam, B., et al. (2020). Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter. Cureus, 12(3), e7255. https://doi.org/10.7759/cureus.7255
Leung, G. M. y Leung, K. (2020). Crowdsourcing data to mitigate epidemics. The Lancet Digital Health, 2(4), e156-e157. https://doi.org/10.1016/S2589-7500(20)30055-8
Lewandowsky, S., Gignac, G. E. y Oberauer, K. (2013a). The Role of Conspiracist Ideation and Worldviews in Predicting Rejection of Science. PLoS ONE, 8(10). https://doi.org/10.1371/journal.pone.0075637
Lewandowsky, S., Oberauer, K. y Gignac, G. E. (2013b). NASA Faked the Moon Landing—Therefore, (Climate) Science Is a Hoax: An Anatomy of the Motivated Rejection of Science. Psychological Science, 24(5), 622-633. https://doi.org/10.1177/0956797612457686
Lobato, E., Mendoza, J., Sims, V. y Chin, M. (2014). Examining the Relationship Between Conspiracy Theories, Paranormal Beliefs, and Pseudoscience Acceptance Among a University Population. Applied Cognitive Psychology, 28(5), 617-625. https://doi.org/10.1002/acp.3042
Lobato, E. y Zimmerman, C. (2019). Examining how people reason about controversial scientific topics. Thinking & Reasoning, 25(2), 231-255. https://doi.org/10.1080/13546783.2018.1521870
López-Cantos, F. y Millán-Yeste, J. (2018). Diffusion of pseudoscientific discourses in Spanish public radio. The program Complementarios by RNE-Radio 5. Revista Latina de Comunicación Social, 73, 317-330. https://doi.org/10.4185/RLCS-2018-1257en
López-Cózar, E. D. y Martín-Martín, A. (2020). La viralidad de la ciencia defectuosa: el contagioso impacto mediático de un preprint en bioRxiv sobre el coronavirus y sus efectos en la comunicación científica [Universidad de Granada]. http://hdl.handle.net/10481/60872
Masip, P., Aran Ramspott, S., Ruiz Caballero, C., Suau, J., Almenar, E. y Puertas Graell, D. (2020). Consumo informativo y cobertura mediática durante el confinamiento por el COVID-19: sobreinformación, sesgo ideológico y sensacionalismo. El Profesional de la Información, 29(3). https://doi.org/10.3145/epi.2020.may.12
Melchior, C. y Oliveira, M. (2022). Health-related fake news on social media platforms: A systematic literature review. New Media & Society, 24(6), 1500-1522. https://doi.org/10.1177/14614448211038762
Nadesan, M. (2022). Crises Narratives Defining the COVID-19 Pandemic: Expert Uncertainties and Conspiratorial Sensemaking. American Behavioral Scientist. https://doi.org/10.1177/00027642221085893
Naeem, S. B, Bhatti R. y Khan A. (2020). An exploration of how fake news is taking over social media and putting public health. Health Information & Libraries Journal, 38, 143-149. https://doi.org/10.1111/hir.12320
Nattrass, N. (2013). The AIDS conspiracy: Science fights back. Columbia University Press.
Nelissen, E. y Bollen, K. (2020, 1 de abril). We need to talk about preprints: how (not) to deal with the media. KU Leuven Blogt. https://bit.ly/3F6zEqS
Noble, S. (2018). Algorithms of Oppression: How Search Engines Reinforce Racism. New York University Press.
Nogrady B. (2021). 'I hope you die': how the COVID pandemic unleashed attacks on scientists. Nature, 598(7880), 250-253. https://doi.org/10.1038/d41586-021-02741-x
O’Grady, C. (2022). In the line of fire. Science, 375(6587). https://doi.org/10.1126/science.abq1538
Oransky, I. (2022). Retractions are increasing, but not enough. Nature, 608. https://doi.org/10.1038/d41586-022-02071-6
Patel, M. P., Kute, V. B., Agarwal, S. K. y COVID-19 Working Group of Indian Society of Nephrology (2020). ‘Infodemic’ COVID 19: More Pandemic than the Virus. Indian Journal of Nephrology, 30(3), 188-191. https://doi.org/10.4103/ijn.IJN_216_20
Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G. y Rand, D. G. (2020). Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention”. Psychological Science, 31(7), 770-780. https://doi.org/10.1177/0956797620939054
Peters, M. A., Jandrić, P. y McLaren, P. (2020). Viral modernity? Epidemics, infodemics, and the ‘bioinformational’ paradigm”. Educational Philosophy and Theory, 54(6), 675-697. https://doi.org/10.1080/00131857.2020.1744226
Posetti, J. y Bontcheva, K (2020a). Desinfodemia: descifrando la desinformación sobre el COVID-19. UNESCO, Policy Brief. https://unesdoc.unesco.org/ark:/48223/pf0000374416_spa
Posetti, J. y Bontcheva, K (2020b). Desinfodemia: Disección de las respuestas a la desinformación sobre el COVID-19. UNESCO, Policy Brief 2. https://unesdoc.unesco.org/ark:/48223/pf0000374417_spa
Posetti J. y Matthews A. (2018). A short guide to the history of ‘fake news’ and disinformation. International Center for Journalists, 7.
Ren, S. Y., Gao, R. D. y Chen, Y. L. (2020). Fear can be more harmful than the severe acute respiratory syndrome coronavirus 2 in controlling the corona virus disease 2019 epidemic. World Journal Of Clinical Cases, 8(4), 652-657. https://doi.org/10.12998/wjcc.v8.i4.652. 10.12998/wjcc.v8.i4.652
Rocha, Y. M., De Moura, G. A., Desidério, G. A., De Oliveira, C. H., Lourenço, F. D. y De Figueiredo Nicolete, L. D. (2021). The impact of fake news on social media and its influence on health during the COVID-19 pandemic: A systematic review. Journal of Public Health, 1-10. https://doi.org/10.1007/s10389-021-01658-z
Roozenbeek, J., van der Linden, S. y Nygren, T. (2020). Prebunking interventions based on ‘inoculation’ theory can reduce susceptibility to misinformation across cultures. Harvard Kennedy School Misinformation Review, 1(2). https://doi.org/10.37016//mr-2020-008
Ruiz-Medina, B. E., Varela Ramírez, A., Kirken, R. A. y Robles Escajeda, E. (2021). The SARS-CoV-2 origin dilemma: Zoonotic transfer or laboratory leak?. BioEssays, 44(1), e2100189. https://doi.org/10.1002/bies.202100189
Ruiz, N. G., Horowitz, J. M. y Tamir, C. (2020, 1 de julio). Many Black, Asian Americans Say they have Experienced Discrimination Amid Coronavirus. Washington DC: Pew Research Center. https://pewrsr.ch/3u1NPHg
Rzymski, P. (2022). Retraction in the online world—Shall we rethink the policy? Science and Public Policy, 49(3), 378-381. https://doi.org/10.1093/scipol/scab085
Salud sin Bulos. (2020). Informe Bulos sobre Coronavirus 2020. Instituto #SaludsinBulos. https://bit.ly/3ANuk9w
Schaeffer, K. (2020). Nearly three-in-ten Americans believe COVID-19 was made in a lab. Pew Research Center. https://pewrsr.ch/3U5SQsZ
Shahid, W., Li, Y., Staples, D., Amin, G., Hakak, S. y Ghorbani, A. (2022). Are You a Cyborg, Bot or Human?—A Survey on Detecting Fake News Spreaders. IEEE Access, 10, 27069-27083. https://doi.org/10.1109/ACCESS.2022.3157724
Smith, G. D., Ng, F. y Ho Cheung Li, W. (2020). COVID-19: Emerging compassion, courage and resilience in the face of misinformation and adversity. Journal of Clinical Nursing, 29, 1425-1428. https://doi.org/10.1111/jocn.15231
Solomon, D. H., Bucala, R., Kaplan, M. J. y Nigrovic, P. A. (2020). The ‘Infodemic’ of COVID-19. Arthritis & Rheumatology, 72(11), 1806-1808. https://doi.org/10.1002/art.41468
Tangcharoensathien V., Calleja, N., Nguyen, T., Purnat, T., D’Agostin, M., et al. (2020). Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation. Journal of Medical Internet Research, 22(6), e19659. https://doi.org/10.2196/19659
The Lancet Infectious Diseases. (2020). The COVID-19 infodemic. The Lancet Infectious diseases, 20(8). https://doi.org/10.1016/S1473-3099(20)30565-X
The United Nations Department of Global Communications. (2020, 31 de marzo). UN tackles ‘infodemic’ of misinformation and cybercrime in COVID-19 crisis. United Nations. https://bit.ly/3iihTMc
Tomes, N. (2020). Managing the modern infodemic. Canadian Medical Association Journal, 192(43), E1311-E1312. https://doi.org/10.1503/cmaj.201905
van der Linden, S. (2015). The conspiracy-effect: exposure to conspiracy theories (about global warming) decreases pro-social behavior and science acceptance. Personality and Individual Differences, 87, 171-173. https://doi.org/10.1016/j.paid.2015.07.045
van Prooijen, J. W. y Douglas, K. M. (2017). Conspiracy theories as part of history: The role of societal crisis situations. Memory Studies, 10(3), 323-333. https://doi.org/10.1177/1750698017701615
Vosoughi, S., Roy, D. y Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151. https://doi.org/10.1126/science.aap9559
Watson, C. (2022). Rise of the preprint: how rapid data sharing during COVID-19 has changed science forever. Nature Medicine, 28, 2-5. https://doi.org/10.1038/s41591-021-01654-6
Wood, M. J., Douglas, K. M. y Sutton, R. M. (2012). Dead and Alive: Beliefs in Contradictory Conspiracy Theories. Social Psychological and Personality Science, 3(6), 767-773. https://doi.org/10.1177/1948550611434786
World Bank Group. (2020). Global Economic Prospects, June 2020. World Bank Group.
Yeo-Teh, N. y Tang, B. L. (2021). An alarming retraction rate for scientific publications on Coronavirus Disease 2019 (COVID-19). Accountability in research, 28(1), 47-53. https://doi.org/10.1080/08989621.2020.1782203
Zarocostas J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676. https://doi.org/10.1016/S0140-6736(20)30461-X.
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