“Make it difficult”: using disfluency to minimize higher motivation effects on fake (and real) news dissemination on social media
DOI:
https://doi.org/10.5585/remark.v23i3.24363Palabras clave:
eWOM, fluency, fake news, perceived truthResumen
Purpose: To investigate the effect of disfluency (perceived difficulty) and prior motivation to do and disseminate electronic word-of-mouth (eWOM) on headlines/posts online, as well as the mediating role of perceived truth.
Design/methodology: This study involves three online experiments emulating “X” (former Twitter) messages and Instagram/Facebook posts. Disfluency was measured in Experiment 1 and manipulated in Experiments 2 and 3 while also measuring prior motivation to disseminate eWOM.
Findings: higher prior motivation increased fake and authentic news dissemination, but disfluency diminished this effect through its influence on perceived truth.
Originality/value: These results demonstrate that people tend to disseminate authentic and fake news owing to a carryover effect, and this tendency is affected by prior eWOM motivation. Disfluency can, thus, not only help prevent fake news dissemination but also inhibit authentic (real) news dissemination. These effects are due to perceived truth, not attention or perceived relevance, and only affect people with higher eWOM motivation. Because the perceptual disfluency manipulations tested are like what occurs daily (i.e., “dark theme” in smartphones and Instagram’s use of font colors), we propose that similar proceedings can decrease the mass propagation of widely disseminated fake news.
Descargas
Citas
Allcott, H. and Gentzkow, M., 2017. Social media and fake news in the 2016 election. Journal of economic perspectives, 31(2), pp.211-36. DOI: 10.1257/jep.31.2.211
Allen, J., Arechar, A.A., Pennycook, G. and Rand, D.G., 2021. Scaling up fact-checking using the wisdom of crowds. Science advances, 7(36), p.eabf4393. DOI: 10.1126/sciadv.abf4393
Alter, A.L. and Oppenheimer, D.M., 2006. Predicting short-term stock fluctuations by using processing fluency. Proceedings of the National Academy of Sciences, 103(24), pp.9369-9372. https://doi.org/10.1073/pnas.0601071103
Alter, A.L., Oppenheimer, D.M., Epley, N. and Eyre, R.N., 2007. Overcoming intuition: metacognitive difficulty activates analytic reasoning. Journal of experimental psychology: General, 136(4), p.569. https://doi.org/10.1037/0096-3445.136.4.569
Alter, A.L., 2013. The benefits of cognitive disfluency. Current Directions in Psychological Science, 22(6), pp.437-442. https://doi.org/10.1177/0963721413498894
Amazeen, M.A. and Bucy, E.P., 2019. Conferring resistance to digital disinformation: The inoculating influence of procedural news knowledge. Journal of Broadcasting & Electronic Media, 63(3), pp.415-432. https://doi.org/10.1080/08838151.2019.1653101
Aydin, A.E., 2018. Processing fluency: Examining its relationship with thinking style and purchase intention. Journal of Marketing Communications, 24(6), pp.588-598. https://doi.org/10.1080/13527266.2016.1167765
Bago, B., Rand, D.G. and Pennycook, G., 2020. Fake news, fast and slow: Deliberation reduces belief in false (but not true) news headlines. Journal of experimental psychology: general, 149(8), p.1608. https://doi.org/10.1037/xge0000729
Bajšanski, I., Žauhar, V. and Valerjev, P., 2019. Confidence judgments in syllogistic reasoning: The role of consistency and response cardinality. Thinking & Reasoning, 25(1), pp.14-47. https://doi.org/10.1080/13546783.2018.1464506
Brashier, N.M., Pennycook, G., Berinsky, A.J. and Rand, D.G., 2021. Timing matters when correcting fake news. Proceedings of the National Academy of Sciences, 118(5), p.e2020043118. https://doi.org/10.1073/pnas.2020043118
Calder, B.J., Isaac, M.S. and Malthouse, E.C., 2016. How to capture consumer experiences: A context-specific approach to measuring engagement: Predicting consumer behavior across qualitatively different experiences. Journal of Advertising Research, 56(1), pp.39-52. DOI: 10.2501/JAR-2015-028
Cheung, M.Y., Luo, C., Sia, C.L. and Chen, H., 2009. Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International journal of electronic commerce, 13(4), pp.9-38. https://doi.org/10.2753/JEC1086-4415130402
Cheung, M.Y., Luo, C., SIA, C.L. and Chen, H., 2007. How do people evaluate electronic word-of-mouth? Informational and normative based determinants of perceived credibility of online consumer recommendations in China. https://aisel.aisnet.org/pacis2007/18/
Claypool, H.M., Mackie, D.M. and Garcia‐Marques, T., 2015. Fluency and attitudes. Social and Personality Psychology Compass, 9(7), pp.370-382. https://doi.org/10.1111/spc3.12179
Dias, N., Pennycook, G. and Rand, D.G., 2020. Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media. Harvard Kennedy School Misinformation Review, 1(1). https://doi.org/10.37016/mr-2020-001
Diemand-Yauman, C., Oppenheimer, D.M. and Vaughan, E.B., 2011. Fortune favors the bold (and the italicized): Effects of disfluency on educational outcomes. Cognition, 118(1), pp.111-115. https://doi.org/10.1016/j.cognition.2010.09.012
Ecker, U.K., Lewandowsky, S. and Tang, D.T., 2010. Explicit warnings reduce but do not eliminate the continued influence of misinformation. Memory & cognition, 38(8), pp.1087-1100. https://doi.org/10.3758/MC.38.8.1087
Ecker, U.K., Hogan, J.L. and Lewandowsky, S., 2017. Reminders and repetition of misinformation: Helping or hindering its retraction?. Journal of Applied Research in Memory and Cognition, 6(2), pp.185-192. https://doi.org/10.1037/h0101809
Ecker, U.K., O'Reilly, Z., Reid, J.S. and Chang, E.P., 2020. The effectiveness of short‐format refutational fact‐checks. British Journal of Psychology, 111(1), pp.36-54. https://doi.org/10.1111/bjop.12383
Fazio, L.K., Brashier, N.M., Payne, B.K. and Marsh, E.J., 2015. Knowledge does not protect against illusory truth. Journal of Experimental Psychology: General, 144(5), p.993. https://doi.org/10.1037/xge0000098
G1, O Globo, Extra, Estadão, Folha e UOL (2021). Consórcio de veículos de imprensa completa 500 dias de trabalho colaborativo. Access on 2024/02/20 (https://g1.globo.com/politica/noticia/2021/10/20/consorcio-de-veiculos-de-imprensa-completa-500-dias-de-trabalho-colaborativo.ghtml)
Garcia-Marques, T., Silva, R.R.D. and Mello, J.J.D., 2016. Judging the truth-value of a statement in and out of a deep processing context. social cognition, 34, pp.40-54. https://doi.org/10.1521/soco.2016.34.1.40
Gavilanes, J.M., Flatten, T.C. and Brettel, M., 2018. Content strategies for digital consumer engagement in social networks: Why advertising is an antecedent of engagement. Journal of Advertising, 47(1), pp.4-23. https://doi.org/10.1080/00913367.2017.1405751
Hayes, A. F., 2018. Introduction to mediation, moderation, and conditional process analysis. New York: The Guilford Press.
Hennig-Thurau, T., Gwinner, K.P., Walsh, G. and Gremler, D.D., 2004. Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet?. Journal of interactive marketing, 18(1), pp.38-52. https://doi.org/10.1002/dir.10073
Hernandez, I. and Preston, J.L., 2013. Disfluency disrupts the confirmation bias. Journal of Experimental Social Psychology, 49(1), pp.178-182. https://doi.org/10.1016/j.jesp.2012.08.010
Hollebeek, L.D., Glynn, M.S. and Brodie, R.J., 2014. Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of interactive marketing, 28(2), pp.149-165. https://doi.org/10.1016/j.intmar.2013.12.002
Jones-Jang, S.M., Mortensen, T. and Liu, J., 2021. Does media literacy help identification of fake news? Information literacy helps, but other literacies don’t. American Behavioral Scientist, 65(2), pp.371-388. https://doi.org/10.1177/0002764219869406
Kahneman, D. 2011. Rápido e Devagar: Duas formas de pensar. Rio de Janeiro, Objetiva.
Korfiatis, N., García-Bariocanal, E. and Sánchez-Alonso, S., 2012. Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content. Electronic Commerce Research and Applications, 11(3), pp.205-217. http://dx.doi.org/10.1016/j.elerap.2011.10.003
Landwehr, J.R., Golla, B. and Reber, R., 2017. Processing fluency: An inevitable side effect of evaluative conditioning. Journal of Experimental Social Psychology, 70, pp.124-128. https://doi.org/10.1016/j.jesp.2017.01.004
Lazer, D.M., Baum, M.A., Benkler, Y., Berinsky, A.J., Greenhill, K.M., Menczer, F., Metzger, M.J., Nyhan, B., Pennycook, G., Rothschild, D. and Schudson, M., 2018. The science of fake news. Science, 359(6380), pp.1094-1096. https://doi.org/10.1126/science.aao2998
Lim, C., 2018. Checking how fact-checkers check. Research & Politics, 5(3), p.2053168018786848. https://doi.org/10.1177/2053168018786848
Mendes-Da-Silva, W., Yu, A. S. O., 2009. Análise empírica do senso de controle: Buscando entender o excesso de confiança. Revista de Administração Contemporânea, 13(2), pp.247-271. https://doi.org/10.1590/S1415-65552009000200006
Miele, D.B. and Molden, D.C., 2010. Naive theories of intelligence and the role of processing fluency in perceived comprehension. Journal of Experimental Psychology: General, 139(3), p.535. https://doi.org/10.1037/a0019745
Moran, G., Muzellec, L. and Nolan, E., 2014. Consumer moments of truth in the digital context: How “search” and “e-word of mouth” can fuel consumer decision making. Journal of Advertising Research, 54(2), pp.200-204. http://dx.doi.org/10.2501/JAR-54-2-200-204
Muntinga, D.G., Moorman, M. and Smit, E.G., 2011. Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of advertising, 30(1), pp.13-46. https://doi.org/10.2501/IJA-30-1-013-046
Newman, E.J., Sanson, M., Miller, E.K., Quigley-McBride, A., Foster, J.L., Bernstein, D.M. and Garry, M., 2014. People with easier to pronounce names promote truthiness of claims. PloS one, 9(2), p.e88671. https://doi.org/10.1371/journal.pone.0088671
Nieminen, S. and Rapeli, L., 2019. Fighting misperceptions and doubting journalists’ objectivity: A review of fact-checking literature. Political Studies Review, 17(3), pp.296-309. https://doi.org/10.1177/1478929918786852
Oppenheimer, D.M., 2006. Consequences of erudite vernacular utilized irrespective of necessity: Problems with using long words needlessly. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 20(2), pp.139-156. https://doi.org/10.1002/acp.1178
Park, Y.W., Herr, P.M. and Kim, B.C., 2016. The effect of disfluency on consumer perceptions of information security. Marketing Letters, 27(3), pp.525-535. https://www.jstor.org/stable/26179956
Pennycook, G., Cannon, T.D. and Rand, D.G., 2018. Prior exposure increases perceived accuracy of fake news. Journal of experimental psychology: general, 147(12), p.1865. https://doi.org/10.1037/xge0000465
Pennycook, G. and Rand, D.G., 2019. Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, pp.39-50. https://doi.org/10.1016/j.cognition.2018.06.011
Pennycook, G. and Rand, D.G., 2020. Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. Journal of personality, 88(2), pp.185-200. https://doi.org/10.1111/jopy.12476
Pennycook, G., McPhetres, J., Zhang, Y., Lu, J.G. and Rand, D.G., 2020. Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological science, 31(7), pp.770-780. https://doi.org/10.1177/0956797620939054
Pennycook, G., Epstein, Z., Mosleh, M., Arechar, A.A., Eckles, D. and Rand, D.G., 2021. Shifting attention to accuracy can reduce misinformation online. Nature, 592(7855), pp.590-595. https://doi.org/10.1038/s41586-021-03344-2
Pennycook, G. and Rand, D.G., 2021. The psychology of fake news. Trends in cognitive sciences, 25(5), pp.388-402. https://doi.org/10.1016/j.tics.2021.02.007
Pfeffer, J., Zorbach, T. and Carley, K.M., 2014. Understanding online firestorms: Negative word-of-mouth dynamics in social media networks. Journal of marketing communications, 20(1-2), pp.117-128. https://doi.org/10.1080/13527266.2013.797778
Pluviano, S., Watt, C., Ragazzini, G. and Della Sala, S., 2019. Parents’ beliefs in misinformation about vaccines are strengthened by pro-vaccine campaigns. Cognitive processing, 20(3), pp.325-331. https://doi.org/10.1007/s10339-019-00919-w
Pornpitakpan, C., 2004. The persuasiveness of source credibility: A critical review of five decades' evidence. Journal of applied social psychology, 34(2), pp.243-281. https://doi.org/10.1111/j.1559-1816.2004.tb02547.x
Reber, R. and Schwarz, N., 1999. Effects of perceptual fluency on judgments of truth. Consciousness and cognition, 8(3), pp.338-342. https://doi.org/10.1006/ccog.1999.0386
Rost, K., Stahel, L. and Frey, B.S., 2016. Digital social norm enforcement: Online firestorms in social media. PLoS one, 11(6), p.e0155923. https://doi.org/10.1371/journal.pone.0155923
Ryffel, F.A. and Wirth, W., 2020. How perceived processing fluency influences the illusion of knowing in learning from TV reports. Journal of Media Psychology: Theories, Methods, and Applications, 32(1), p.2. https://doi.org/10.1027/1864-1105/a000250
Ross, R.M., Rand, D.G. and Pennycook, G., 2019. Beyond “fake news”: Analytic thinking and the detection of false and hyperpartisan news headlines. https://doi.org/10.1017/S1930297500008640
Shao, G., 2009. Understanding the appeal of user‐generated media: a uses and gratification perspective. Internet research. https://doi.org/10.1108/10662240910927795
Shu, K., Sliva, A., Wang, S., Tang, J. and Liu, H., 2017. Fake news detection on social media: A data mining perspective. ACM SIGKDD explorations newsletter, 19(1), pp.22-36. https://doi.org/10.1145/3137597.3137600
Schwarz, N., 2004. Metacognitive experiences in consumer judgment and decision making. Journal of Consumer Psychology, 14(4), pp.332-348. https://doi.org/10.1207/s15327663jcp1404_2
Silva, R.R., Garcia-Marques, T. and Reber, R., 2017. The informative value of type of repetition: Perceptual and conceptual fluency influences on judgments of truth. Consciousness and Cognition, 51, pp.53-67. https://doi.org/10.1016/j.concog.2017.02.016
Simmons, J.P. and Nelson, L.D., 2006. Intuitive confidence: choosing between intuitive and nonintuitive alternatives. Journal of experimental psychology: General, 135(3), p.409. https://doi.org/10.1037/0096-3445.135.3.409
Simmons, J. and Nelson, L., 2007. Intuitive confidence: When consumer choices are sensitive to matching prices. ACR North American Advances. http://www.acrwebsite.org/volumes/12610/volumes/v34/NA-34
Song, H., Schwarz, N. 2008. If it’s hard to read, it’s hard to do: Processing fluency affects effort prediction and motivation. Psychological Science, 19(10), pp.986-988. https://doi.org/10.1111/j.1467-9280.2008.02189.x
Song, H. and Schwarz, N., 2009. If it's difficult to pronounce, it must be risky: Fluency, familiarity, and risk perception. Psychological Science, 20(2), pp.135-138. https://doi.org/10.1111/j.1467-9280.2009.02267.x
Su, N., Li, T., Zheng, J., Hu, X., Fan, T. and Luo, L., 2018. How font size affects judgments of learning: Simultaneous mediating effect of item-specific beliefs about fluency and moderating effect of beliefs about font size and memory. PloS one, 13(7), p.e0200888. https://doi.org/10.1371/journal.pone.0200888
Swire, B., Ecker, U.K. and Lewandowsky, S., 2017. The role of familiarity in correcting inaccurate information. Journal of experimental psychology: learning, memory, and cognition, 43(12), p.1948. https://doi.org/10.1037/xlm0000422
Tsang, S.J., 2021. Motivated fake news perception: The impact of news sources and policy support on audiences’ assessment of news fakeness. Journalism & Mass Communication Quarterly, 98(4), pp.1059-1077. https://doi.org/10.1177/1077699020952129
Unkelbach, C., Koch, A., Silva, R.R. and Garcia-Marques, T., 2019. Truth by repetition: Explanations and implications. Current Directions in Psychological Science, 28(3), pp.247-253. https://doi.org/10.1177/0963721419827854
Van Der Heide, B. and Lim, Y.S., 2016. On the conditional cueing of credibility heuristics: The case of online influence. Communication Research, 43(5), pp.672-693. https://doi.org/10.1177/0093650214565915
Vegetti, F. and Mancosu, M., 2020. The impact of political sophistication and motivated reasoning on misinformation. Political Communication, 37(5), pp.678-695. https://doi.org/10.1080/10584609.2020.1744778
Visentin, M., Pizzi, G. and Pichierri, M., 2019. Fake news, real problems for brands: The impact of content truthfulness and source credibility on consumers’ behavioral intentions toward the advertised brands. Journal of Interactive Marketing, 45(1), pp.99-112. https://doi.org/10.1016/j.intmar.2018.09.001
Vosoughi, S., Roy, D. and Aral, S., 2018. The spread of true and false news online. science, 359(6380), pp.1146-1151. https://doi.org/10.1126/science.aap9559
Weissgerber, S.C. and Reinhard, M.A., 2017. Is disfluency desirable for learning?. Learning and instruction, 49, pp.199-217. https://doi.org/10.1016/J.LEARNINSTRUC.2017.02.004
Wu, Y., Ngai, E.W., Wu, P. and Wu, C., 2020. Fake online reviews: Literature review, synthesis, and directions for future research. Decision Support Systems, 132, p.113280. https://doi.org/10.1016/j.dss.2020.113280
Zhou, X., Zafarani, R., Shu, K. and Liu, H., 2019, January. Fake news: Fundamental theories, detection strategies and challenges. In Proceedings of the twelfth ACM international conference on web search and data mining (pp. 836-837). https://doi.org/10.1145/3289600.3291382
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 ReMark - Revista Brasileira de Marketing
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.