Keywords
detection
recognition memory
feedback
signal detection theory
How to Cite
Abstract
The objective of this research was to analyze the effect of immediate feedback on the detection and recognition memory of false and true news, using the Signal Detection Theory. For this, two experiments were carried out; in experiment one no feedback was presented; in experiment 2 immediate feedback was included. The experiments were divided into 2 phases: discrimination and news recognition memory. It included the participation of 93 young people, who judged the veracity or falsity of the news using a forced choice task, in 24 news with two types of attributes, physical and non-physical. The results indicated in experiment one, that the non-physical attributes alter the detection and memory recognition of the news, making the physical attribute of the font color irrelevant. In experiment 2, immediate feedback was found to improve detection, but not recognition, which is impaired by non-physical attributes as in experiment one. These findings show the need to present news readers with different sources of immediate verification to improve their detection, as well as the need to generate good information verification practices in the communication sector.
References
Allcott, H. y Gentzkow. M. (2017). Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives, 31 (2): 211-36. https://doi.org/10.1257/jep.31.2.211
Almenar, E.; Aran, S; Suau, J. y Masip, P. (2021). Diferencias de género al abordar las noticias falsas: diferentes grados de preocupación, pero los mismos problemas. Media and Communication, 9 (1), 229-238. http://dx.doi.org/10.17645/mac.v9i1.3523
Amar, J., Droulers, O. y Legohérel, P. (2017). Typography in destination advertising: An exploratory study and research perspectives. Tourism Management, 63, 77-86. https://doi.org/10.1016/j.tourman.2017.06.002
Autor., Ramos-Álvarez, M. M., Callejas-Aguilera, J. E. y Rosas, J. M. (2016). Attention to irrelevant contexts decreases as training increases: Evidence from eye-fixations in a human predictive learning task. Behavioural Processes, 124, 66–73. https://doi.org/10.1016/j.beproc.2015.12.008
Autores (2021). [Título omitido para revisión de doble ciego]. Manuscrito no publicado.
Baddeley, A. D. y Logie, R. H. (1999). Working memory: The multiple-component model. In A. Miyake y P. Shah (Eds.), Models of working memory: Mechanisms of active maintenance and executive control 28–61. Cambridge University Press. https://doi.org/10.1017/CBO9781139174909.005
Banks, W. P. (1970). Signal detection theory and human memory. Psychological Bulletin, 74(2), 81-99. https://doi.org/10.1037/h0029531
Barttlet, F.C. (1932). Remembering: A study in experimental and social psychology. Cambridge University Press.
Batailler, C., Skylar, B., Teas, P. y Gawronski, B. (2022). A Signal Detection Approach to Understanding the Identification of Fake News. Perspectives on Psychological Science. 17. 78-98. http://doi.org/10.1177/1745691620986135
Bettman, J. R. (1970). Information Processing Models of Consumer Behavior. Journal of Marketing Research, 7(3), 370–376. https://doi.org/10.1177/002224377000700314
Bettman, J.R. (1979). An Information Processing Theory of Consumer Choice. Journal of Marketing, 43(3), pp. 124-126. https://doi.org/10.2307/1250155
Biros, D. George, J. y Zmud, R. (2002). Inducing Sensitivity to Deception in Order to Improve Decision Making Performance: A Field Study. MIS Quarterly, 26, 119-144. https://doi.org/10.2307/4132323
Bovet, A. y Makse, H.A. (2019). Influence of fake news in Twitter during the 2016 US presidential election. Nature Communications 10, 7. https://doi.org/10.1038/s41467-018-07761-2
Cho, S. y Weiss, S. (2017, August). Usability in communication design: typographic influence on content judgment and subjective confidence. In Proceedings of the 35th ACM International Conference on the Design of Communication 1-7. https://doi.org/10.1145/3121113.3121236
Chua, A. y. K., Cheah, S.-M., Goh, D. H., y Lim, E.P. (2016). Collective Rumor Correction on the Death Hoax. PACIS 2016 Proceedings 178. https://aisel.aisnet.org/pacis2016/178
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (Revised Edition). Academic Press.
Deterding, S., Dixon, D., Khaled, R. y Nacke, L. (2011). From game design elements to gamefulness: defining" gamification". In Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments 9-15. https://doi.org/10.1145/2181037.2181040
Diederich, S., Janssen-Müller, M., Brendel, A. y Morana S. (2019). Emulating Empathetic Behavior in Online Service Encounters with Sentiment-Adaptive Responses: Insights from an Experiment with a Conversational. Agent ICIS 2019. Proceeding, 2. https://aisel.aisnet.org/icis2019/smart_service_science/smart_service_science/2
Estes, W (1978). The information processing approach to cognition: A confluence of metaphors and methods. Handbook of Learning and Cognitive Processes 5: Human Information. Laurence Erlbaum Associates Inc.
Faul, F., Erdfelder, E., Lang, AG. y Buchner, A. (2017). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods 39, 175–191. https://doi.org/10.3758/BF03193146
Fourney, A., Racz, M., Ranade, G., Mobius, M. y Horvitz, E (2017). Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election. CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. https://doi.org/10.1145/3132847.3133147
Garry, M., Strange, D., Bernstein, D. y Kinzett, T. (2007). Photographs can distort memory for the news. Applied Cognitive Psychology. 21, 995-1004. https://doi.org/10.1002/acp.1362
Gil-Aciron, L. A. (2022). The gamer psychology: a psychological perspective on game design and gamification. Interactive Learning Environments, 1-25. https://doi.org/10.1080/10494820.2022.2082489
Green, D. M., y Swets, J. A. (1966). Signal detection theory and psychophysics. Wiley.
Greene, C.M. y Murphy, G. (2020). Individual differences in susceptibility to false memories for COVID-19 fake news. Cognitive Research: Principles and Implications, 5, 63. https://doi.org/10.1186/s41235-020-00262-1
Gupta, A., Kumaraguru, P., Castillo, C. y Meier, P. (2014). Tweetcred: Real-time credibility assessment of content on twitter. International Conference on Social Informatics, 228–243. https://arxiv.org/abs/1405.5490
Hamby, A., Ecker, U. y Brinberg, D. (2020). How stories in memory perpetuate the continued influence of false information. Journal of Consumer Psychology, 30(2), 240-259. https://doi.org/10.1002/jcpy.1135
Hattie, J. y Timperley, H. (2007). The power of feedback. Review of educational research, 77(1), 81-112. https://doi.org/10.3102/003465430298487
Jensen, M., Lowry, P. y Jenkins, J. (2011). Effects of Automated and Participative Decision Support in Computer-Aided Credibility Assessment. Journal of Management Information Systems, 28(1), 201-234. https://doi.org/10.2753/MIS0742-1222280107
Klein, B. D., Goodhue, D. L. y Davis, G. B. (1997). Can Humans Detect Errors in Data? Impact of Base Rates, Incentives, and Goals. MIS Quarterly, 21(2), 169. https://doi.org/10.2307/249418
Lobato, R. M., Morales, A. V., Rodríguez, Á. S., Lozano, M. M. y Sánchez, E. G. (2021). Fact-checking on Twitter: An analysis of the hashtag# StopBulos. Revista Interamericana de Psicología/Interamerican Journal of Psychology, 55(2), e1371. https://doi.org/10.30849/ripijp.v55i2.1371
Macmillan, N.A. y Creelman, C.D. (2005). Detection Theory: A User’s Guide, Second Edition. Lawrence Erlbaum Associates.
Mory, E. H. (2004). Feedback research revisited. In D. H. Jonassen (Ed.), Handbook of research on educational communications and technology (pp. 745–783). Lawrence Erlbaum Associates Publishers. https://bit.ly/3atRRz5
Organización Panamericana de la Salud. (2020). Hojas Informativas COVID-19: Entender la infodemia y la desinformación en la lucha contra la COVID-19. https://iris.paho.org/handle/10665.2/52053
Oude Lohuis, M. N., Pie, J. L., Marchesi, P., Montijn, J. S., de Kock, C. P., Pennartz, C. y Olcese, U. (2022). Multisensory task demands temporally extend the causal requirement for visual cortex in perception. Nature communications, 13(1), 1-19. https://doi.org/10.1038/s41467-022-30600-4
Park, J.-H., Shea, C. H. y Wright, D. L. (2000). Reduced-frequency concurrent and terminal feedback: A test of the guidance hypothesis. Journal of Motor Behavior, 32(3), 287-296. https://doi.org/10.1080/00222890009601379
Pennycook, G., Cannon, T. D. y Rand, D. G. (2018). Prior exposure increases perceived accuracy of fake news. Journal of Experimental Psychology: General, 147(12), 1865–1880. https://doi.org/10.1037/xge0000465
Pennycook, G. y Rand, D. G. (2019). 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
Postman, L. (1961). Extra-experimental interference and the retention of words. Journal of Experimental Psychology, 61(2), 97–110. https://doi.org/10.1037/h0049239
Prtoric, J. (2020) Verificadores de información: la lucha diaria contra las 'fake news'. Welcome to the Jungle. www.welcometothejungle.com/es/articles/verificadores-informacion-fake-news
Ross, B., Jung, AK., Heisel, j. y Stieglitz, S. (2018). Fake News on Social Media: The (In)Effectiveness of Warning Messages. Thirty Ninth International Conference on Information Systems, San Francisco 2018. https://bit.ly/3sx8f7O
Schotter, A. y Trevino, I. (2021). Is response time predictive of choice? An experimental study of threshold strategies. Exp Econ 24, 87–117. https://doi.org/10.1007/s10683-020-09651-1
Shin, J., Jian, L., Driscoll, K. y Bar, F. (2017). Political rumoring on Twitter during the 2012 US presidential election: Rumor diffusion and correction. New Media y Society, 19(8), 1214–1235. https://doi.org/10.1177/1461444816634054
Shu, K., Sliva, A., Wang, S., Tang, J. y Liu, H. (2017). Fake News Detection on Social Media: A Data Mining Perspective. SIGKDD Explorations, 19, 22-36. https://doi.org/10.1145/3137597.3137600
Skurnik, I. W. (1998). Metacognition and the illusion of truth. Dissertation Abstracts International: Section B: The Sciences and Engineering, 59(5-B), 2489.
The jamovi project (2019). jamovi. (Version 1.1) [Computer Software]. https://www.jamovi.org
Turner, B. M., Van Zandt, T. y Brown, S. (2011). A dynamic stimulus-driven model of signal detection. Psychological Review, 118(4), 583–613. https://doi.org/10.1037/a0025191
Tulving, E. (1962). Subjective organization in free recall of "unrelated" words. Psychological Review, 69(4), 344-354. https://doi.org/10.1037/h0043150
Van Steenburg, E. y Naderi, I. (2020). Unplanned purchase decision making under simultaneous financial and time pressure. Journal of Marketing Theory and Practice, 28:1, 98-116, https://doi.org/10.1080/10696679.2019.1684206
Wulf, G., Shea, CH. y Matschiner, S. (1998). Frequent feedback enhances complex motor skill learning. Journal of Motor Behavior, 30(2), 180-92. https://doi.org/10.1080/00222899809601335
Zhang, X. y Ghorbani, A. A. (2020). An overview of online fake news: Characterization, detection, and discussion. Information Processing y Management, 57(2), 102025. https://doi.org/10.1016/j.ipm.2019.03.004
Zichermann, G. y Cunningham, C. (2011). Gamification by Design: Implementing Game Mechanics in Web and Mobile Apps. O’Reilly. https://bit.ly/2OyPse7
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