金花, 贾丽娜, 单金磊. (2021). 相关度对老年人错误信息持续影响效应的影响: 死亡态度和健康焦虑的作用. 心理与行为研究, 19(3), 389–395. 金花, 贾丽娜, 阴晓娟, 严世振, 魏士琳, 陈俊涛. (2022). 错误信息持续影响效应的神经基础. 心理学报, 54(4), 343–354. 刘欣, 吕小康. (2025). 健康动机性推理的影响因素及其发生机制. 心理科学进展, 33(10), 1805–1820. 闫国利, 熊建萍, 臧传丽, 余莉莉, 崔磊, 白学军. (2013). 阅读研究中的主要眼动指标评述. 心理科学进展, 21(4), 589–605. Baum, J., Frömer, R., & Abdel Rahman, R. (2024). Emotional content reduces the cognitive effort invested in processing the credibility of social (mis)information. Emotion, 24(6), 1468–1480. Bigsby, E., & Albarracín, D. (2022). Self- and response efficacy information in fear appeals: A meta-analysis. Journal of Communication, 72(2), 241–263. Borges Do Nascimento, I. J., Beatriz Pizarro, A., Almeida, J., Azzopardi-Muscat, N., André Gonçalves, M., Björklund, M., & Novillo-Ortiz, D. (2022). Infodemics and health misinformation: A systematic review of reviews. Bulletin of the World Health Organization, 100(9), 544–561. Buczel, K. A., Szyszka, P. D., Siwiak, A., Szpitalak, M., & Polczyk, R. (2022). Vaccination against misinformation: The inoculation technique reduces the continued influence effect. PLoS One, 17(4), e0267463. Chao, F., Zhou, Q., Zhao, J. A., Xu, Y. N., & Yu, G. (2024). Trustworthiness matters: Effect of source credibility on sharing debunking information across different rumour types. Information Processing & Management, 61(4), 103747. Ecker, U. K. H., Lewandowsky, S., & Tang, D. T. W. (2010). Explicit warnings reduce but do not eliminate the continued influence of misinformation. Memory & Cognition, 38(8), 1087–1100. Jiang, X. Y., Zhang, N., Sun, X. M., Yang, S. T., Dong, M. X., Yuan, Y. … Zhao, Q. (2023). Rumour type matters: The effect of different types of rumours on coping, subjective well-being, and interpersonal trust during the COVID-19 pandemic. Stress and Health, 39(5), 1124–1136. Johnson, H. M., & Seifert, C. M. (1994). Sources of the continued influence effect: When misinformation in memory affects later inferences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(6), 1420–1436. Kim, S. C., Vraga, E. K., & Cook, J. (2021). An eye tracking approach to understanding misinformation and correction strategies on social media: The mediating role of attention and credibility to reduce HPV vaccine misperceptions. Health Communication, 36(13), 1687–1696. Lee, Y. I., Mu, D., Hsu, Y. C., Wojdynski, B. W., & Binford, M. (2024). Misinformation or hard to tell? An eye-tracking study to investigate the effects of food crisis misinformation on social media engagement. Public Relations Review, 50(4), 102483. Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106–131. MacFarlane, D., Hurlstone, M. J., & Ecker, U. K. H. (2018). Reducing demand for ineffective health remedies: Overcoming the illusion of causality. Psychology & Health, 33(12), 1472–1489. MacFarlane, D., Hurlstone, M. J., & Ecker, U. K. H. (2021). Countering demand for ineffective health remedies: Do consumers respond to risks, lack of benefits, or both. Psychology & Health, 36(5), 593–611. MacFarlane, D., Tay, L. Q., Hurlstone, M. J., & Ecker, U. K. H. (2021). Refuting spurious COVID-19 treatment claims reduces demand and misinformation sharing. Journal of Applied Research in Memory and Cognition, 10(2), 248–258. Moravec, P., Minas, R., & Dennis, A. R. (2018). Fake news on social media: People believe what they want to believe when it makes no sense at all. SSRN Electronic Journal. Retrieved July 14, 2024, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3269541 Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In R. E. Petty & J. T. Cacioppo (Eds.), Communication and persuasion: Central and peripheral routes to attitude change (pp. 1–24). New York: Springer. Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372–422. Rich, P. R., Donovan, A. M., & Rapp, D. N. (2023). Cause typicality and the continued influence effect. Journal of Experimental Psychology: Applied, 29(2), 221–238. Rose, J. M., Ganbold, O., Rose, A. M., Thibodeau, J. C., & Rotaru, K. (2024). Overcoming resistance to belief revision and correction of misinformation beliefs: Psychophysiological and behavioral effects of a counterfactual mindset. Scientific Reports, 14(1), 12493. Sirois, S., & Brisson, J. (2014). Pupillometry. WIREs Cognitive Science, 5(6), 679–692. Southwell, B. G., Otero Machuca, J., Cherry, S. T., Burnside, M., & Barrett, N. J. (2023). Health misinformation exposure and health disparities: Observations and opportunities. Annual Review of Public Health, 44, 113–130. Susmann, M. W., & Wegener, D. T. (2022). The role of discomfort in the continued influence effect of misinformation. Memory & Cognition, 50(2), 435–448. Swire, B., Ecker, U. K. H., & Lewandowsky, S. (2017). The role of familiarity in correcting inaccurate information. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(12), 1948–1961. Tao, R., Li, J. N., Shen, L. W., & Yang, S. J. (2023). Hope over fear: The interplay between threat information and hope appeal corrections in debunking early COVID-19 misinformation. Social Science & Medicine, 333, 116132. Warren, T., & McConnell, K. (2007). Investigating effects of selectional restriction violations and plausibility violation severity on eye-movements in reading. Psychonomic Bulletin & Review, 14(4), 770–775. Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59(4), 329–349. Yahyaie, L., Ebrahimpour, R., & Koochari, A. (2024). Pupil size variations reveal information about hierarchical decision-making processes. Cognitive Computation, 16(3), 1049–1060.
|