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La pandemia de Covid-19 desafió al mundo de varias maneras que exigieron esfuerzos globales de adaptación y respuesta para minimizar su impacto. La amenaza existencial planteada por la pandemia, el aumento global de la dependencia de la gente a las redes sociales y la necesidad desesperada de información, crearon un escenario de proliferación de noticias falsas. Este artículo pretende contribuir a la comprensión de los procesos psicológicos implicados en la propagación de noticias falsas. La metodología fue una revisión de literatura empírica de alcance según lineamientos PRISMA sobre los procesos psicológicos relacionados con la aceptación de noticias falsas sobre Covid-19. Se buscaron artículos en cinco bases de datos publicados entre enero de 2020 y diciembre de 2021 en inglés y español. Esto condujo a la identificación de 223 estudios, que después de las comprobaciones de elegibilidad resultaron en 18 artículos. Nuestros resultados mostraron que: a) no está clara la relación entre la consistencia de las teorías conspirativas, las creencias de Covid-19 y la aceptación de las fake news, b) existen evidencias de que emociones como la ira y el miedo predicen parcialmente las conductas de compartir información, c) los estilos cognitivos intuitivos están asociados con una mayor aceptación de las noticias falsas, y d) no es clara la relación entre la orientación política y el respaldo a las fake news, Discutimos las implicaciones de nuestros hallazgos y destacamos la necesidad urgente de investigar sobre este aspecto cada vez más problemático de la comunicación humana.

Mora-Micán, C., Rojas Gaitan, L., Villota, M., & Ramírez, L. (2025). Procesos psicológicos en la aceptación de noticias falsas sobre el Covid-19: una revisión de alcance. Avances En Psicología Latinoamericana , 42(3). https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.13724

Abbas, J., Wang, D., Su, Z., & Ziapour, A. (2021). The role of social media in the advent of Covid-19 pandemic: Crisis management, mental health challenges and implications. Risk Management and Healthcare Policy, 14, 1917–1932. https://doi.org/10.2147/RMHP.S284313

Alvi, I., & Saraswat, N. (2020). Information processing– heuristic vs systematic and susceptibility of sharing Covid-19-related fake news on social media. Journal of Content, Community and Communication, 12, 42–56. https://doi.org/10.31620/JCCC.12.20/06

Anderson, J., Rainie, L., & Vogels, E. A. (2021). Experts say the ‘new normal’ in 2025 will be far more tech-driven, presenting more big challenges. Pew Research Center, https://www.pewresearch.org/internet/2021/02/18/experts-say-the-newnormal-in-2025-will-be-far-more-tech-drivenpresenting-more-big-challenges/

Anspach, N. M., & Carlson, T. N. (2020). What to believe? Social media commentary and belief in misinformation. Political Behavior, 42(4), 697–718. https://doi.org/10.1007/s11109-018-9515-z

Beauvais, C. (2022). Fake news: Why do we believe it? Joint Bone Spine, 89(4), Article 105371. https://doi.org/10.1016/j.jbspin.2022.105371

Bermes, A. (2021). Information overload and fake news sharing: A transactional stress perspective exploring the mitigating role of consumers’ resilience during Covid-19. Journal of Retailing and Consumer Services, 61, Article 102555. https://doi.org/10.1016/j.jretconser.2021.102555

Bernal Sarmiento, L. A. (2020). Validación psicométrica del inventario sistemas de creencias en el Ecuador. Psychology, Society & Education, 12(2), 33–47. https://doi.org/10.25115/psye.v12i2.2741

Cichocka, A., & Dhont, K. (2018). The personality bases of political ideology and behavior. In V. Zeigler-Hill & T. K. Shackelford (Eds.), The SAGE handbook of personality and individual differences (Vol. 3, pp. 323–351). SAGE.

De Coninck, D., Frissen, T., Matthijs, K., d’Haenens, L., Lits, G., Champagne-Poirier, O., & Généreux, M. (2021). Beliefs in conspiracy theories and misinformation about Covid-19: Comparative perspectives on the role of anxiety, depression and exposure to and trust in information sources. Frontiers in Psychology, 12, Article 646394. https://doi.org/10.3389/fpsyg.2021.646394

Dhanani, L. Y., & Franz, B. (2020). The role of news consumption and trust in public health leadership in shaping Covid-19 knowledge and prejudice. Frontiers in Psychology, 11, Article 560828. https://doi.org/10.3389/fpsyg.2020.560828

Dillon, J., & Avraamidou, L. (2020). Towards a viable response to Covid-19 from the science education community. Journal of Activist Science & Technology Education, 11(2), 1–6. https://doi.org/10.33137/jaste.v11i2.34531

Duffy, A., & Tan, N. N. (2022). Dubious news: The social processing of uncertain facts in uncertain times. Digital Journalism, 10(3), 395–411. https://doi.org/10.1080/21670811.2021.1953390

Fernández, F. R. (2020). Comunicación y noticias falsas en relación al Covid-19: algunas reflexiones sobre la información, la desinformación y propuestas de mejora. Revista Española de Comunicación en Salud, Suppl. 1, 253–264. https://doi.org/10.20318/recs.2020.5375

Filkuková, P., Ayton, P., Rand, K., & Langguth, J. (2021). What should I trust? Individual differences in attitudes to conflicting information and misinformation on Covid-19. Frontiers in Psychology, 12, Article 588478. https://doi.org/10.3389/fpsyg.2021.588478

Freeman, D., Waite, F., Rosebrock, L., Petit, A., Causier, C., East, A., & Lambe, S. (2022). Coronavirus conspiracy beliefs, mistrust, and compliance with government guidelines in England. Psychological Medicine, 52(2), 251–263. https://doi.org/10.1017/S0033291720001890

Fuhrer, J., & Cova, F. (2020). “Quick and dirty”: Intuitive cognitive style predicts trust in Didier Raoult and his hydroxychloroquine-based treatment against Covid-19. Judgment & Decision Making, 15(6) 889-908. https://doi.org/10.1017/S1930297500008123

Greene, C. M., & Murphy, G. (2021). Quantifying the effects of fake news on behavior: Evidence from a study of Covid-19 misinformation. Journal of Experimental Psychology: Applied, 27(4), 773-784. https://doi.org/10.1037/xap0000371

Greifeneder, R., Jaffe, M., Newman, E., & Schwarz, N. (2021). The psychology of fake news: Accepting, sharing, and correcting misinformation. Routledge.

Gupta, S., Rouse, B. T., & Sarangi, P. P. (2021). Did climate change influence the emergence, transmission, and expression of the Covid-19 pandemic? Frontiers in Medicine, 8, Article 769208. https://doi.org/10.3389/fmed.2021.769208

Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022). PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and open synthesis. Campbell Systematic Reviews, 18, Article e1230. https://doi.org/10.1002/cl2.1230

Hadlington, L., Harkin, L. J., Kuss, D., Newman, K., & Ryding, F. C. (2023). Perceptions of fake news, misinformation, and disinformation amid the Covid-19 pandemic: A qualitative exploration. Psychology of Popular Media, 12(1), 40–49. https://doi.org/10.1037/ppm0000387

Hong, Q. N., Gonzalez-Reyes, A., & Pluye, P. (2018). Improving the usefulness of a tool for appraising the quality of qualitative, quantitative and mixed methods studies: The mixed methods appraisal tool (MMAT). Journal of Evaluation in Clinical Practice, 24, 459–467. https://doi.org/10.1111/jep.12884

Horesh, D., & Brown, A. D. (2020). Covid-19 response: Traumatic stress in the age of Covid-19: A call to close critical gaps and adapt to new realities. Psychological Trauma: Theory, Research, Practice, and Policy, 12(4), 331–335. https://doi.org/10.1037/TRA0000592

Huang, Y., & Zhao, N. (2020). Mental health burden for the public affected by the Covid-19 outbreak in China: Who will be the high-risk group? Psychology, Health & Medicine, 26(1), 23–34. https://doi.org/10.1080/13548506.2020.1754438

Juanchich, M., Sirota, M., Jolles, D., & Whiley, L. A. (2021). Are Covid-19 conspiracies a threat to public health? Psychological characteristics and health protective behaviours of believers. European Journal of Social Psychology, 51(6), 969–989. https://doi.org/10.1002/ejsp.2796

Kaczmarek, B. L., & Gaś, Z. B. (2021). The power of self-deception: Psychological reaction to the Covid-19 threat. Acta Neuropsychologica, 19(3), 319-328. https://doi.org/10.5604/01.3001.0015.0613

Kahan, D. M. (2017, May 24). Misconceptions, misinformation, and the logic of identity-protective cognition. Cultural Cognition Project Working Paper Series No. 164, Yale Law School, Public Law Research Paper No. 605, Yale Law & Economics Research Paper No. 575. https://doi.org/10.2139/ssrn.2973067

Kim, S., & Kim, S. (2020). The crisis of public health and infodemic: Analyzing belief structure of fake news about Covid-19 pandemic. Sustainability, 12(23), Article 9904. https://doi.org/10.3390/su12239904

Koffman, J., Gross, J., Etkind, S. N., & Selman, L. (2020). Uncertainty and Covid-19: How are we to respond? Journal of the Royal Society of Medicine, 113(6), 211–216. https://doi.org/10.1177/0141076820930665

Lawson, M. A., & Kakkar, H. (2022). Of pandemics, politics, and personality: The role of conscientiousness and political ideology in the sharing of fake news. Journal of Experimental Psychology: General, 151(5), 1154–1177. https://doi.org/10.1037/xge0001120

Levy, S. R., Chiu, C., & Hong, Y. (2006). Lay theories and intergroup relations. Group Processes & Intergroup Relations, 9(1), 5–24. https://doi.org/10.1177/1368430206059855

Lobato, E. J., Powell, M., Padilla, L. M., & Holbrook, C. (2020). Factors predicting willingness to share Covid-19 misinformation. Frontiers in Psychology, 11, Article 566108. https://doi.org/10.3389/fpsyg.2020.566108

Madziva, R., Nachipo, B., Musuka, G., Chitungo, I., Murewanhema, G., Phiri, B., & Dzinamarira, T. (2022). The role of social media during the Covid-19 pandemic: Salvaging its ‘power’ for positive social behavior change in Africa. Health Promotion Perspectives, 12(1), 22–27. https://doi.org/10.34172/hpp.2022.03

Manusov, V., & Spitzberg, B. H. (2008). Attribution theory: Finding good cause in the search for theory. Routledge.

Nan, X., Wang, Y., & Thier, K. (2022). Why people believe health misinformation and who are at risk? A systematic review of individual differences in susceptibility to health misinformation. Social Science & Medicine, 14, Artcile 115398. https://doi.org/10.1016/j.socscimed.2022.115398

Martel, C., Pennycook, G., & Rand, D. G. (2020). Reliance on emotion promotes belief in fake news. Cognitive Research: Principles and Implications, 5, Article 47. https://doi.org/10.1186/s41235-020-00252-3

McClain, C., Vogels, E. A., Perrin, A., Sechopoulos, S., & Rainie, L. (2021). The internet and the pandemic. Pew Research Center. https://www.pewresearch.org/internet/2021/09/01/the-internet-and-the-pandemic/

Mills, A. J., Pitt, C., & Ferguson, S. L. (2019). The relationship between fake news and advertising: Brand management in the era of programmatic advertising and prolific falsehood. Journal of Advertising Research, 59(1), 3–8. https://doi.org/10.2501/JAR-2019-007

Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., & Stewart, L. A. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4(1), Article 1. https://doi.org/10.1186/2046-4053-4-1

Moravec, P., Minas, R., & Dennis, A. (2018). Fake news on social media: People believe what they want to believe when it makes no sense at all. Kelley School of Business Research Paper No. 18-87. https://doi.org/10.2139/ssrn.3269541

Panneer, S., Kantamaneni, K., Palaniswamy, U., Bhat, L., Pushparaj, R. R. B., Nayar, K. R., & Rice, L. (2022, April). Health, economic, and social development challenges of the Covid-19 pandemic: Strategies for multiple and interconnected issues. Healthcare, 10(5), Article 770. https://doi.org/10.3390/healthcare10050770

Pennycook, G., & Rand, D. G. (2021). The psychology of fake news. Trends in Cognitive Sciences, 25(5), 388–402. https://doi.org/10.1016/j.tics.2021.02.007

Perez-Brumer, A., Balasa, R., Doshi, A., Brogdon, J., Doan, T., & Oldenburg, C. E. (2022). Covid-19 related shifts in social interaction, connection, and cohesion impact psychosocial health: Longitudinal qualitative findings from Covid-19 treatment trial engaged participants. International Journal of Environmental Research and Public Health, 19(16), Article 10264. https://doi.org/10.3390/ijerph191610264

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In R. E. Petty, & J. T. Cacioppo (Eds.), Communication and persuasion (pp. 1–24). Springer. https://doi.org/10.1007/978-1-4612-4964-1_1

Plaks, J. E., Levy, S. R., & Dweck, C. S. (2009). Lay theories of personality: Cornerstones of meaning in social cognition. Social and Personality Psychology Compass, 3, 1069–1081. https://doi.org/10.1111/j.1751-9004.2009.00222.x

Preston, S., Anderson, A., Robertson, D. J., Shephard, M. P., & Huhe, N. (2021). Detecting fake news on Facebook: The role of emotional intelligence. PLOS ONE, 16(3), Article e0246757. https://doi.org/10.1371/journal.pone.0246757

Majerczak, P., & Strzelecki, A. (2022). Trust, media credibility, social ties, and the intention to share towards information verification in an age of fake news. Behavioral Sciences, 12(2), Article 51. https://doi.org/10.3390/bs12020051

Puig, B., Blanco-Anaya, P., & Pérez-Maceira, J. J. (2021). “Fake news” or real science? Critical thinking to assess information on Covid-19. Frontiers in Education, 6, Article 646909. https://doi.org/10.3389/feduc.2021.646909

Quinn, E. K., Fazel, S. S., & Peters, C. E. (2021). The Instagram infodemic: Cobranding of conspiracy theories, coronavirus disease 2019 and authority-questioning beliefs. Cyberpsychology, Behavior, and Social Networking, 24(8), 573–577. https://doi.org/10.1089/cyber.2020.0663

Ramírez, L. F., & Levy, S. (2010). Sentido común y conflicto: impacto de las teorías legas sobre relaciones intergrupales. Universitas Psychologica, 9(2), 331–344. https://doi.org/10.11144/Javeriana.upsy9-2.scci

Rizal, A. R. A., Nordin, S. M., Ahmad, W. F. W., Khiri, M. J. A., & Hussin, S. H. (2022). How does social media influence people to get vaccinated? The elaboration likelihood model of a person’s attitude and intention to get Covid-19 vaccines. International Journal of Environmental Research and Public Health, 19(4), Article 2378. https://doi.org/10.3390/ijerph19042378

Shih, H.-P., Lai, K.-H., & Cheng, T. C. E. (2023). Compiled by belief consistency: The cognitive-information lens of user-generated persuasion. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 372–393. https://doi.org/10.3390/jtaer18010020

Souza, M. T. D., Silva, M. D. D., & Carvalho, R. D. (2010). Integrative review: What is it? How to do it? Einstein (São Paulo, Brazil), 8, 102–106. https://doi.org/10.1590/s1679-45082010rw1134

Stanley, M. L., Barr, N., Peters, K., & Seli, P. (2021). Analytic-thinking predicts hoax beliefs and helping behaviors in response to the Covid-19 pandemic. Thinking & Reasoning, 27(3), 464–477. https://doi.org/10.1080/13546783.2020.1813806

Sternisko, A., Cichocka, A., Cislak, A., & Van Bavel, J. J. (2023). National narcissism predicts the belief in and the dissemination of conspiracy theories during the Covid-19 pandemic: Evidence from 56 countries. Personality and Social Psychology Bulletin, 49(1), 48–65. https://doi.org/10.1177/01461672211054947

Šuriņa, S., Martinsone, K., Perepjolkina, V., Kolesnikova, J., Vainik, U., Ruža, A., Vrublevska, J., Smirnova, D., Fountoulakis, K., & Rancans, E. (2021). Factors related to Covid-19 preventive behaviors: A structural equation model. Frontiers in Psychology, 12, Article 676521. https://doi.org/10.3389/fpsyg.2021.676521

Tamayo, R. (2011). A checklist to define the psychological processes. Revista Colombiana de Psicología, 20(2), 321–327. http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0121-54692011000200013&lng=en&tlng=en

Tomasello, M. (2009). Why we cooperate. The MIT Press.

Xiao, X., Borah, P., & Su, Y. (2021). The dangers of blind trust: Examining the interplay among social media news use, misinformation identification, and news trust on conspiracy beliefs. Public Understanding of Science, 30(8), 977–992. https://doi.org/10.1177/0963662521998025

Van Antwerpen, N., Turnbull, D., & Searston, R. A. (2022). The role of anxiety in mediating the relationship between information consumption and Covid-19 protective behaviors. Psychology, Health & Medicine, 27(9), 2043–2056. https://doi.org/10.1080/13548506.2021.2008994

Van Bavel, J. J., & Pereira, A. (2018). The partisan brain: An identity-based model of political belief. Trends in Cognitive Sciences, 22(3), 213–224. https://doi.org/10.1016/j.tics.2018.01.004

Van Huijstee, D., Vermeulen, I., Kerkhof, P., & Droog, E. (2022). Continued influence of misinformation in times of Covid-19. International Journal of Psychology, 57(1), 136–145. https://doi.org/10.1002/ijop.12805

Van Mulukom, V., Pummerer, L. J., Alper, S., Bai, H., Čavojová, V., Farias, J., Kay, C., Lazarevic, L., Lobato, E., Marinthe, G., Banai, I., & Žeželj, I. (2022). Antecedents and consequences of Covid-19 conspiracy beliefs: A systematic review. Social Science & Medicine, 301, Article 114912. https://doi.org/10.1016/j.socscimed.2022.114912

Vijaykumar, S., Jin, Y., Rogerson, D., Lu, X., Sharma, S., Maughan, A., Fadel, B., Silva de Oliveira, M., Pagliari, C., & Morris, D. (2021). How shades of truth and age affect responses to Covid-19 (mis) information: Randomized survey experiment among WhatsApp users in UK and Brazil. Humanities and Social Sciences Communications, 8, Article 88. https://doi.org/10.1057/s41599-021-00752-7

Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359,1146–1151. https://doi.org/10.1126/science.aap9559

Wang, X., Chao, F., Yu, G., & Zhang, K. (2022). Factors influencing fake news rebuttal acceptance during the Covid-19 pandemic and the moderating effect of cognitive ability. Computers in Human Behavior, 130, Article 107174. https://doi.org/10.1016/j.chb.2021.107174

Willermark, S., & Gellerstedt, M. (2022). Facing radical digitalization: Capturing teachers’ transition to virtual classrooms through ideal type experiences. Journal of Educational Computing Research, 60(6), 1351–1372. https://doi.org/10.1177/07356331211069424

Williams, J. C., & Lynn, S. J. (2011). Acceptance: An historical and conceptual review. Imagination, Cognition and Personality, 30(1), 5–56. https://doi.org/10.2190/IC.30.1.c

Zedelius, C. M., Müller, B. C. N., & Schooler, J. W. (Eds.). (2017). The science of lay theories: How beliefs shape our cognition, behavior, and health. Springer International Publishing. https://doi.org/10.1007/978-3-319-57306-9

Zhang, X. A., & Cozma, R. (2022). Risk sharing on Twitter: Social amplification and attenuation of risk in the early stages of the Covid-19 pandemic. Computers in Human Behavior, 126, Article 106983. https://doi.org/10.1016/j.chb.2021.106983

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