Social cognition and misinformation in context of a presidential campaign in Costa Rica

Authors

DOI:

https://doi.org/10.29105/gmjmx21.41-528

Keywords:

misinformation, social cognition, social media, electoral campaign

Abstract

The present study investigated the contribution of cognitive, psychosocial and sociodemographic variables in the acceptance of false and true messages and the willingness to share them, in the context of the Costa Rican presidential campaign during the period of 2021-2022. A total of 187 people (71% women) were recruited via Facebook to participate in an online survey. The sample was exposed to a set of false and true messages and evaluated their veracity. Also, participants completed a questionnaire that measured the variables under study. Results showed that in-group identification, cognitive reflexivity, age, religiousness, and subjective income contributed to explain both the recognition of false and true messages and the tendency to share them.

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References

Allcott, H., & Gentzkow, M. (2017). Social media and fake news in the 2016 Election. National Bureau of Economic Research. https://doi.org/10.3386/w23089 DOI: https://doi.org/10.3386/w23089

Andersen, D. J., Redlawsk, D. P., & Lau, R. R. (2019). The Dynamic Process Tracing Environment (DPTE) as a tool for studying political communication. Political Communication, 36(2), 303–314. https://doi.org/10.1080/10584609.2019.1579771 DOI: https://doi.org/10.1080/10584609.2019.1579771

Baptista, J., & Gradim, A. (2020). Online disinformation on Facebook: the spread of fake news during the Portuguese 2019 Election. Journal of Contemporary European Studies, 30(2). 297-312. https://doi.org/10.1080/14782804.2020.1843415 DOI: https://doi.org/10.1080/14782804.2020.1843415

Brenes Peralta, C., Pérez Sánchez, R., & Siles González, I. (2021a). Predictores psicosociales de la exposición y difusión de noticias falsas en Costa Rica. Cuadernos.Info, (49), 214-238. https://doi.org/10.7764/cdi.49.27437 DOI: https://doi.org/10.7764/cdi.49.27437

Brenes Peralta, C., Pérez Sánchez, R., & Siles González, I. (2021b) Individual evaluation vs fact-checking in the recognition and willingness to share fake news about Covid-19 via Whatsapp. Journalism Studies, 23(1), 1-24. https://doi.org/10.1080/1461670X.2021.1994446 DOI: https://doi.org/10.1080/1461670X.2021.1994446

Brenes Peralta, C., Siles, I., & Tristán Jiménez, L. (2024). Nuestras apps de cada día (2024): 2do informe sobre el uso de plataformas digitales en Costa Rica. CICOM.

Bridgman, A., Merkley, E., Loewen, P. J., Owen, T., Ruths, D., Teichmann, L., & Zhilin, O. (2020). The causes and consequences of COVID-19 misperceptions: understanding the role of news and social media. OSFPREPRINTS. Preprint. https://doi.org/10.31219/osf.io/6tcdn DOI: https://doi.org/10.31219/osf.io/6tcdn

Bronstein, M. V., Pennycook, G., Bear, A., Rand, D. G., & Cannon, T. D. (2019). Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking. Journal of Applied Research in Memory and Cognition, 8(1), 108–117. https://doi.org/10.1037/h0101832 DOI: https://doi.org/10.1016/j.jarmac.2018.09.005

Bryanov, K., & Vziatysheva, V. (2021). Determinants of individuals' belief in fake news: A scoping review determinants of belief in fake news. PloS one, 16(6). https://doi.org/10.1371/journal.pone.0253717 DOI: https://doi.org/10.1371/journal.pone.0253717

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Reviews Psychology, 1(1),13–29. https://doi.org/10.1038/s44159-021-00006-y DOI: https://doi.org/10.1038/s44159-021-00006-y

González Prieto, A., & Quirós Araya, H. (2014). Identidad social y uso de Facebook: Su asociación con la autoestima y el disfrute del uso de esta red social en estudiantes universitarios [Bachelor’s tesis, Universidad de Costa Rica]. Repositorio SIBDI-UCR. http://hdl.handle.net/123456789/1707

Greifeneder, R., Jaffé, M., Newman, E., & and Schwarz, N. (2021). What is new and true about fake news? En R. Greifeneder, M. E. Jaffé, E. J. Newman, & N. Schwarz (Eds), The psychology of fake news (pp. 1-8). Routledge. https://doi.org/10.4324/9780429295379 DOI: https://doi.org/10.4324/9780429295379-1

Guess, A., Nagler, J., & Tucker, J. (2019). Less than you think: prevalence and predictors of fake news dissemination on Facebook. Science Advances, 5(1). https://doi.org/10.1126/sciadv.aau4586 DOI: https://doi.org/10.1126/sciadv.aau4586

Harrison, G. M., & Vallin, L. M. (2018). Evaluating the metacognitive awareness inventory using empirical factor-structure evidence. Metacognition and Learning, 13, 15-38. https://doi.org/10.1007/s11409-017-9176-z DOI: https://doi.org/10.1007/s11409-017-9176-z

Heyes, C., Bang, D., Shea, N., Frith, Ch., & Flemming, S. (2020). Knowing ourselves together: the cultural origins of metacognition. Trends in Cognitive Sciences, 24(5), 349-362. https://doi.org/10.1016/j.tics.2020.02.007 DOI: https://doi.org/10.1016/j.tics.2020.02.007

Ituassu, A., Capone, L., Firmino, L., Mannheimer, V., & Murta, F. (2019). Comunicación política, elecciones y democracia: las campañas de Donald Trump y Jair Bolsonaro. Perspectivas de la comunicación, 12(2), 11-37. https://dx.doi.org/10.4067/S0718-48672019000200011 DOI: https://doi.org/10.4067/S0718-48672019000200011

Iyengar, S., Sood, G., & Lelkes Y. (2012). Affect, not ideology: a social identity perspective on polarization. Public Opinion Quarterly, 76(3), 405–431. https://doi.org/10.1093/poq/nfs038 DOI: https://doi.org/10.1093/poq/nfs038

Jenke, L. (2024). Affective polarization and misinformation belief. Political Behavior, 46, 825-884. https://doi.org/10.1007/s11109-022-09851-w DOI: https://doi.org/10.1007/s11109-022-09851-w

Jost, J. T. (2017), Ideological asymmetries and the essence of political psychology. Political Psychology, 38, 167-208. https://doi.org/10.1111/pops.12407 DOI: https://doi.org/10.1111/pops.12407

Katz, E. (1987). Communications research since Lazarsfeld. The Public Opinion Quarterly, 51(2), 525-545. https://doi.org/10.1086/269068 DOI: https://doi.org/10.1086/269068

Kaufman, R. A., Haupt, M. R., & Dow, S. P. (2022). Who’s in the crowd matters: cognitive factors and beliefs predict misinformation assessment accuracy. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1-18. https://doi.org/10.1145/3555611 DOI: https://doi.org/10.1145/3555611

Luhtanen, R., & Crocker, J. (1992). A collective self-esteem scale: self-evaluation of one's social identity. Personality and Social Psychology Bulletin, 18(3), 302-318. https://doi.org/10.1177/0146167292183006 DOI: https://doi.org/10.1177/0146167292183006

Oyserman, D., & Dawson, D. (2021). Your fake news, our facts. Identity-based motivation shapes what we believe, share, and accept. In R. Greifeneder, M. E. Jaffe, E. Newman, & N. Schwarz (Eds.), The psychology of fake news: accepting, sharing, and correcting misinformation (pp. 173-195). Routledge. DOI: https://doi.org/10.4324/9780429295379-13

Pennycook, G., Cannon, T. D., & Rand, D. G. (2018). Prior exposure increases perceived accuracy of fake news. Journal of Experimental Psychology, 147(12), 1865–1880. https://doi.org/10.1037/xge0000465 DOI: https://doi.org/10.1037/xge0000465

Pennycook, G., & Rand, D. G. (2020). Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. Journal of personality, 88(2), 185–200. https://doi.org/10.1111/jopy.12476 DOI: https://doi.org/10.1111/jopy.12476

Pennycook, G., & Rand, D. (2019). Lazy, not biased: susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39-50, https://doi.org/10.1016/j.cognition.2018.06.011 DOI: https://doi.org/10.1016/j.cognition.2018.06.011

Pérez Sánchez, R. (2017). Psicología social de la comunicación de masas: introducción a las teorías psicosociales de la comunicación de masas. 2a. Edición. IIP-UCR y SIEDIN.

Pignataro, A., & Cascante, M. (2018). Los electorados de la democracia costarricense. Percepciones ciudadanas y participación en torno a las elecciones nacional de 2014. IFED-TSE.

Pillai, R. M., & Fazio, L. K. (2021). The effects of repeating false and misleading information on belief. Wiley Interdisciplinary Reviews: Cognitive Science, 12(6), e1573. https://doi.org/10.1002/wcs.1573 DOI: https://doi.org/10.1002/wcs.1573

Prior, M. (2019). Hooked: How politics captures people's interest. Cambridge University Press. DOI: https://doi.org/10.1017/9781108355001

Prior, M. (2013). Media and political polarization. Annual Review of Political Science, 16, 101-127. https://doi.org/10.1146/annurev-polisci-100711-135242 DOI: https://doi.org/10.1146/annurev-polisci-100711-135242

Rampersad, G., & Althiyabi, T. (2020). Fake news: acceptance by demographics and culture on social media. Journal of Information Technology & Politics, 17(1), 1-11. https://doi.org/10.1080/19331681.2019.1686676 DOI: https://doi.org/10.1080/19331681.2019.1686676

Salovich, N. A., & Rapp, D. N. (2021). Misinformed and unaware? Metacognition and the influence of inaccurate information. Journal of Experimental Psychology: Learning, Memory and Cognition, 47(4), 608-624. http://dx.doi.org/10.1037/xlm0000977 DOI: https://doi.org/10.1037/xlm0000977

Schaffner, B. F., & Roche, C. (2016). Misinformation and motivated reasoning: responses to economic news in a politicized environment. Public Opinion Quarterly, 81(1), 86–110. https://doi.org/10.1093/poq/nfw043 DOI: https://doi.org/10.1093/poq/nfw043

Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460-475. https://doi.org/10.1006/ceps.1994.1033 DOI: https://doi.org/10.1006/ceps.1994.1033

Shu, K., Wang, S., Lee, D., & Liu, H. (2020). Mining disinformation and fake news: concepts, methods, and recent advancements. In K. Shu, S. Wang, D. Lee, & H. Liu (Eds.), Disinformation, misinformation, and fake news in social media. Lecture notes in social networks (pp. 1-19). Springer. https://doi.org/10.1007/978-3-030-42699-6_1 DOI: https://doi.org/10.1007/978-3-030-42699-6_1

Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In S. Worchel, & W. G. Austin (Eds.), Psychology of intergroup relations (pp. 7–24). Nelson-Hall. https://doi.org/10.4324/9780203505984-16 DOI: https://doi.org/10.4324/9780203505984-16

Thomson, K. S., & Oppenheimer, D. M. (2016). Investigating an alternate form of the cognitive reflection test. Judgment and Decision making, 11(1), 99-113. https://doi.org/10.1017/S1930297500007622 DOI: https://doi.org/10.1017/S1930297500007622

Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the social group: A self-categorization theory. Basil Blackwell.

Valenzuela, S., Muñiz, C., & Santos, M. (2022). Social media and belief in misinformation in Mexico: a Case of maximal panic, minimal effects? The International Journal of Press/Politics, 29(3), 667–688. https://doi.org/10.1177/19401612221088988 DOI: https://doi.org/10.1177/19401612221088988

Published

2024-07-30

How to Cite

Pérez Sánchez, R., Brenes Peralta, C., Smith-Castro, V., & Molina-Delgado, M. (2024). Social cognition and misinformation in context of a presidential campaign in Costa Rica. Global Media Journal México, 21(41), 1–19. https://doi.org/10.29105/gmjmx21.41-528