心理科学进展 ›› 2024, Vol. 32 ›› Issue (4): 664-676.doi: 10.3724/SP.J.1042.2024.00664
收稿日期:
2023-03-01
出版日期:
2024-04-15
发布日期:
2024-02-29
通讯作者:
付春野
E-mail:chunyefu@nankai.edu.cn
基金资助:
LYU Xiaokang, LIU Xin, YANG Tingting, FU Chunye()
Received:
2023-03-01
Online:
2024-04-15
Published:
2024-02-29
Contact:
FU Chunye
E-mail:chunyefu@nankai.edu.cn
摘要:
如何有效治理健康谣言是社交媒体时代的一大难题。健康谣言传播具有信息和信息加工主体两个层面的驱动因素, 可依据信息生命周期理论将其分为产生期、评价期和传播期三阶段, 系统归纳与分析不同阶段的健康谣言干预策略: 产生期重在预防, 强调对大众进行心理接种、提升自身健康素养; 评价期关注个体的主观能动性, 包括聚焦信息准确性以及促进自身分析式加工; 传播期通过提高辟谣信息可信度、善用反驳文本和调节个体情绪状态, 实现精准辟谣。未来研究可继续创新信息生命周期视角下健康谣言的治理策略, 细化考察不同类型与易感人群下的干预手段; 归纳与验证不同策略在现实世界中的应用效果, 充分发挥行为科学与网络平台对建立健康谣言干预的长效机制的作用。
中图分类号:
吕小康, 刘欣, 杨婷婷, 付春野. (2024). 健康谣言的干预策略:基于信息生命周期的视角. 心理科学进展 , 32(4), 664-676.
LYU Xiaokang, LIU Xin, YANG Tingting, FU Chunye. (2024). Intervention strategies for health rumors: An overview based on the information lifecycle theory. Advances in Psychological Science, 32(4), 664-676.
[1] |
曹雅宁, 柯青. (2023). 为什么人们对虚假健康信息的易感性不同?——基于信息加工过程组态的分析. 现代情报, 43(1), 40-54.
doi: 10.3969/j.issn.1008-0821.2023.01.005 |
[2] | 陈春彦. (2015). 网络谣言制造者的性别构成和动机研究——基于60例典型案例的统计分析. 今传媒, 24(1), 31-33. |
[3] | 邓胜利, 付少雄. (2018). 社交媒体附加信息对用户信任与分享健康类谣言的影响分析. 情报科学, 36(3), 51-57. |
[4] | 迪方佐, 波迪亚. (2021). 谣言心理学 (何凌南, 赖凯声译). 北京: 机械工业出版社. |
[5] |
郭梦茜, 张宁. (2022). 助推手卫生的行为干预策略. 心理科学进展, 30(4), 863-876.
doi: 10.3724/SP.J.1042.2022.00863 |
[6] | 郭小安. (2015). 当代中国网络谣言的社会心理研究. 北京: 中国社会科学出版社. |
[7] | 赖凯声, 李丹. (2022). 网络谣言的传播心理. 见:许燕, 杨宜音(编), 社会心理研究 (p.567). 上海: 华东师范大学出版社. |
[8] | 李宁. (2018). 微信中健康养生类谣言的传播规律和特点 ——以微信朋友圈为例. 青年记者, (14), 11-12. |
[9] | 梁冠华, 鞠玉梅. (2018). 基于舆情演化生命周期的突发事件网络舆情风险评估分析. 情报科学, 36(10), 48-53. |
[10] | 林华. (2021). 网络谣言的法律治理研究. 北京: 中国政法大学出版社. |
[11] | 刘果, 汪小伢. (2020). 标题特征对数字媒介内容传播效果的影响——基于新闻评论类微信公众号标题的实证研究. 新闻与传播评论, 91(6), 29-39. |
[12] | 谈天, 钟鹤翔, 陈华. (2022). 基于信息生命周期理论的公共信用信息管理层次模型研究. 电子技术与软件工程, (13), 226-229. |
[13] | 王钰昱. (2022). 添加警告对不同类型在线健康谣言分享意愿的影响研究. 应用数学进展, 11(9), 6288-6297. |
[14] | 熊炎. (2019). 解释警示逆火效应是醍醐灌顶还是火上浇油? 新闻与传播研究, 41(1), 58-76. |
[15] | 喻丰. (2022). 科技伦理治理的社会心理取向——以人工智能为例. 国家治理, 9(7), 26-30. |
[16] |
曾润喜, 李游. (2023). 自我效能感与网络健康信息搜寻关系的元分析. 心理科学进展, 31(4), 535-551.
doi: 10.3724/SP.J.1042.2023.00535 |
[17] | 张宁, 张书维. (2020). 重大突发公共卫生事件下的应急管理策略:行为科学的视角. 经济社会体制比较, 36(5), 25-34. |
[18] | 朱晓峰. (2004). 生命周期方法论. 科学学研究, 22(6), 566-571 |
[19] | 宗乾进, 黄子风, 沈洪洲. (2017). 基于性别视角的社交媒体用户造谣传谣和举报谣言行为研究. 现代情报, 38(7), 25-29 |
[20] | Adaji, I. (2023). Susceptibility of online users to persuasive strategies to curb the spread of misinformation. In Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp.157-164). |
[21] | Anderson, E. R., Horton, W. S., & Rapp, D. N. (2019, July). Hungry for the truth: Evaluating the utility of “truth sandwiches” as refutations. Proceedings of the annual meeting of the society for text and discourse, New York. |
[22] |
Bago, B., Rand, D. G., & 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), 1608-1613.
doi: 10.1037/xge0000729 URL |
[23] | Battineni, G., Baldoni, S., Chintalapudi, N., Sagaro, G. G., Pallotta, G., Nittari, G., & Amenta, F. (2020). Factors affecting the quality and reliability of online health information. Digital Health, 6, 2055207620948996. |
[24] | Bayer, M., Sommer, W., & Schacht, A. (2012). Font size matters--Emotion and attention in cortical responses to written words. PloS One, 7(5), e36042. |
[25] |
Blank, H., Rutter, L., & Armstrong, R. (2019). Enlightenment beats prejudice: The reversibility of stereotype-induced memory distortion. Psychonomic Bulletin & Review, 26(3), 1001-1007.
doi: 10.3758/s13423-018-1541-7 |
[26] |
Brydges, C. R., Gordon, A., & Ecker, U. K. H. (2020). Electrophysiological correlates of the continued influence effect of misinformation: An exploratory study. Journal of Cognitive Psychology, 32(8), 771-784.
doi: 10.1080/20445911.2020.1849226 URL |
[27] | Cai, M., Luo, H., Meng, X., Cui, Y., & Wang, W. (2022). Influence of information attributes on information dissemination in public health emergencies. Humanities & Social Sciences Communications, 9(1), 1-22. |
[28] |
Chan, M. S., Jones, C. R., Hall Jamieson, K., & Albarracín, D. (2017). Debunking: A meta-analysis of the psychological efficacy of messages countering misinformation. Psychological Science, 28(11), 1531-1546.
doi: 10.1177/0956797617714579 URL |
[29] | Chang, A., Schulz, P. J., Jiao, W., Yu, G., & Yang, Y. (2022). Media source characteristics regarding food fraud misinformation according to the health information national trends survey (hints) in China: Comparative study. JMIR Formative Research, 6(3), e32302. |
[30] | Chen, B., Chen, X., Pan, J., Liu, K., Xie, B., Wang, W., Peng, Y., Wang, F., Li, N., & Jiang, J. (2021). Dissemination and refutation of rumors during the COVID-19 outbreak in China: Infodemiology study. Journal of Medical Internet Research, 23(2), e22427. |
[31] | Chen, L., & Tang, H. (2022). Examining the persuasion process of narrative fear appeals on health misinformation correction. Information, Communication & Society, 26(15), 2923-2941. |
[32] |
Chen, X., & Wang, N. (2020). Rumor spreading model considering rumor credibility, correlation and crowd classification based on personality. Scientific Reports, 10(1), 5887.
doi: 10.1038/s41598-020-62585-9 pmid: 32246112 |
[33] |
Cheng, Y., Huo, L., & Zhao, L. (2022). Stability analysis and optimal control of rumor spreading model under media coverage considering time delay and pulse vaccination. Chaos, Solitons and Fractals, 157, 111931.
doi: 10.1016/j.chaos.2022.111931 URL |
[34] |
Chick, C. F. (2019). Cooperative versus competitive influences of emotion and cognition on decision making: A primer for psychiatry research. Psychiatry Research, 273, 493-500.
doi: S0165-1781(18)31678-0 pmid: 30708200 |
[35] | Chua, A. Y., Banerjee, S., Guan, A. H., Xian, L. J., & Peng, P. (2016, September). Intention to trust and share health- related online rumors: Studying the role of risk propensity. 2016 SAI Computing Conference (SAI), London, UK. |
[36] |
Chua, A. Y. K., & Banerjee, S. (2017). To share or not to share: The role of epistemic belief in online health rumors. International Journal of Medical Informatics, 108, 36-41.
doi: S1386-5056(17)30222-8 pmid: 29132629 |
[37] |
Chua, A. Y. K., & Banerjee, S. (2018). Intentions to trust and share online health rumors: An experiment with medical professionals. Computers in Human Behavior, 87, 1-9.
doi: 10.1016/j.chb.2018.05.021 URL |
[38] |
de Baene, W., Albers, A. M., & Brass, M. (2012). The what and how components of cognitive control. NeuroImage, 63(1), 203-211.
doi: 10.1016/j.neuroimage.2012.06.050 pmid: 22766165 |
[39] |
Dechêne, A., Stahl, C., Hansen, J., & Wänke, M. (2010). The truth about the truth: A meta-analytic review of the truth effect. Personality and Social Psychology Review, 14(2), 238-257.
doi: 10.1177/1088868309352251 pmid: 20023210 |
[40] |
DiFonzo, N., Robinson, N. M., Suls, J. M., & Rini, C. (2012). Rumors about cancer: Content, sources, coping, transmission, and belief. Journal of Health Communication, 17(9), 1099-1115.
doi: 10.1080/10810730.2012.665417 pmid: 22724591 |
[41] | Dong, W., Tao, J., Xia, X., Ye, L., Xu, H., Jiang, P., & Liu, Y. (2020). Public emotions and rumors spread during the COVID-19 epidemic in China: Web-based correlation study. Journal of Medical Internet Research, 22(11), e21933. |
[42] |
Douglas, K. M., Sutton, R. M., & Cichocka, A.. (2017). The psychology of conspiracy theories. Current Directions in Psychological Science, 26(6), 538-542.
doi: 10.1177/0963721417718261 pmid: 29276345 |
[43] | Dubois, E., & Blank, G. (2018). The echo chamber is overstated: The moderating effect of political interest and diverse media. Information, Communication & Society, 21(5), 729-745. |
[44] |
Dunn, A. G., Purnat, T. D., Ishizumi, A., Nguyen, T., & Briand, S. (2023). Measuring the burden of infodemics with a research toolkit for connecting information exposure, trust, and health behaviours. Archives of Public Health, 81(1), 1-8.
doi: 10.1186/s13690-022-01021-y |
[45] |
Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N.,... Amazeen, M. A. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Reviews Psychology, 1(1), 13-29.
doi: 10.1038/s44159-021-00006-y |
[46] |
Ecker, U. K. H., Lewandowsky, S., Swire, B., & Chang, D. (2011). Correcting false information in memory: Manipulating the strength of misinformation encoding and its retraction. Psychonomic Bulletin and Review, 18(3), 570-578.
doi: 10.3758/s13423-011-0065-1 URL |
[47] |
Ecker, U. K. H., O'Reilly, Z., Reid, J. S., & Chang, E. P. (2020). The effectiveness of short-format refutational fact-checks. British Journal of Psychology, 111(1), 36-54.
doi: 10.1111/bjop.12383 pmid: 30825195 |
[48] |
Ecker, U. K. H., Sanderson, J. A., McIlhiney, P., Rowsell, J. J., Quekett, H. L., Brown, G. D., & Lewandowsky, S. (2023). Combining refutations and social norms increases belief change. Quarterly Journal of Experimental Psychology, 76(6), 1275-1297.
doi: 10.1177/17470218221111750 URL |
[49] |
Ehrenreich, H. (2018). Autoantibodies against N-methyl-d- aspartate receptor 1 in health and disease. Current Opinion in Neurology, 31(3), 306-312.
doi: 10.1097/WCO.0000000000000546 pmid: 29474316 |
[50] | Epstein, Z., Berinsky, A.J., Cole, R.T., Gully, A., Pennycook, G., & Rand, D.G. (2021). Developing an accuracy-prompt toolkit to reduce COVID-19 misinformation online. Harvard Kennedy School Misinformation Review. |
[51] |
Faure, J. A., Wang, C. W., Chen, C. S., & Chan, C. C. (2022). Assessment of the functional capacity and preparedness of the Haitian healthcare system to fight against the COVID-19 pandemic: A narrative review. Healthcare, 10(8), 1428.
doi: 10.3390/healthcare10081428 URL |
[52] |
Fazia, T., Bubbico, F., Iliakis, I., Salvato, G., Berzuini, G., Bruno, S., & Bernardinelli, L. (2020). Short-term meditation training fosters mindfulness and emotion regulation: A pilot study. Frontiers in Psychology, 11, 558803.
doi: 10.3389/fpsyg.2020.558803 URL |
[53] | Fazio, L. (2020). Pausing to consider why a headline is true or false can help reduce the sharing of false news. Harvard Kennedy School Misinformation Review, 1(2), 1-8. |
[54] |
Fellows, L. K., & Farah, M. J. (2003). Ventromedial frontal cortex mediates affective shifting in humans: Evidence from a reversal learning paradigm. Brain, 126(Pt 8), 1830-1837.
doi: 10.1093/brain/awg180 pmid: 12821528 |
[55] |
Fu, C., Liao, L., Xie, H., & Zhou, X. (2023). How can we implement targeted policies of rumor governance? An empirical study based on survey experiment of COVID-19. Chinese Public Administration Review, 14(2), 120-131.
doi: 10.1177/15396754221139446 URL |
[56] |
Fu, C. Y., Lyu, X. K., & Mi, M. D. (2022). Collective value promotes the willingness to share pro-vaccination messages on social media in China: Randomized controlled trial. JMIR Formative Research, 6(10), e35744.
doi: 10.2196/35744 URL |
[57] | Gwiaździński, P., Gundersen, A. B., Piksa, M., Krysińska, I., Kunst, J. R., Noworyta, K.,... Piasecki, J. (2023). Psychological interventions countering misinformation in social media: A scoping review. Frontiers in Psychiatry, 13, 2872. |
[58] |
He, L., Chen, Y., Xiong, X., Zou, X., & Lai, K. (2021). Does science literacy guarantee resistance to health rumors? The moderating effect of self-efficacy of science literacy in the relationship between science literacy and rumor belief. International Journal of Environmental Research and Public Health, 18(5), 2243.
doi: 10.3390/ijerph18052243 URL |
[59] | Hernandez, R. G., Hagen, L., Walker, K., O'Leary, H., & Lengacher, C. (2021). The COVID-19 vaccine social media infodemic: Healthcare providers' missed dose in addressing misinformation and vaccine hesitancy. Human Vaccines & Immunotherapeutics, 17(9), 2962-2964. |
[60] |
Herovic, E., Sellnow, T. L., & Sellnow, D. D. (2020). Challenges and opportunities for pre-crisis emergency risk communication: Lessons learned from the earthquake community. Journal of Risk Research, 23(3), 349-364.
doi: 10.1080/13669877.2019.1569097 URL |
[61] |
Hess, T. M., Smith, B. T., & Sharifian, N. (2016). Aging and effort expenditure: The impact of subjective perceptions of task demands. Psychology and Aging, 31(7), 653-660.
doi: 10.1037/pag0000127 pmid: 27831709 |
[62] |
Huo, L., & Ma, C. (2017). Dynamical analysis of rumor spreading model with impulse vaccination and time delay. Physica A: Statistical Mechanics and its Applications, 471, 653-665.
doi: 10.1016/j.physa.2016.12.024 URL |
[63] | Indu, V., & Thampi, S. M. (2022). Cognitive AI for mitigation of misinformation in online social networks. IT Professional, 24(5), 37-45. |
[64] |
Jiang, T., Guo, Q., Chen, S., & Yang, J. (2020). What prompts users to click on news headlines? Evidence from unobtrusive data analysis. ASLIB Journal of Information Management, 72(1), 49-66.
doi: 10.1108/AJIM-04-2019-0097 URL |
[65] |
Kenix, L. J., & Manickam, J. (2021). A missed opportunity? President trump, the truth sandwich, and news coverage across an ideological spectrum. Media Watch, 12(2), 177-196.
doi: 10.15655/mw_2021_v12i2_160145 URL |
[66] |
Kim, J., & Nan, X. (2019). Temporal framing effects differ for narrative versus non-narrative messages: The case of promoting HPV vaccination. Communication Research, 46(3), 401-417.
doi: 10.1177/0093650215626980 URL |
[67] |
König, L. M. (2023). Debunking nutrition myths: An experimental test of the 'truth sandwich' text format. British Journal of Health Psychology, 28(4), 1000-1010.
doi: 10.1111/bjhp.v28.4 URL |
[68] |
Kotz, J., Giese, H., & König, L. M. (2023). How to debunk misinformation? An experimental online study investigating text structures and headline formats. British Journal of Health Psychology, 28(4), 1097-1112.
doi: 10.1111/bjhp.12670 pmid: 37263771 |
[69] |
Kral, T. R. A., Schuyler, B. S., Mumford, J. A., Rosenkranz, M. A., Lutz, A., & Davidson, R. J. (2018). Impact of short- and long-term mindfulness meditation training on amygdala reactivity to emotional stimuli. NeuroImage, 181, 301-313.
doi: S1053-8119(18)30625-6 pmid: 29990584 |
[70] | Lee, S., Forrest, J. P., Strait, J., Seo, H., Lee, D., & Xiong, A. (2020). Beyond cognitive ability:Susceptibility to fake news is also explained by associative inference. In: Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 1-8. |
[71] |
Lee, S. J., Lee, C. J., & Hwang, H. (2023). The role of deliberative cognitive styles in preventing belief in politicized COVID-19 misinformation. Health Communication, 38(13), 2904-2914.
doi: 10.1080/10410236.2022.2125119 URL |
[72] |
Lewandowsky, S., & van der Linden, S. (2021). Countering misinformation and fake news through inoculation and prebunking. European Review of Social Psychology, 32(2), 348-384.
doi: 10.1080/10463283.2021.1876983 URL |
[73] |
Li, M. H., Chen, Z., & Rao, L. L. (2022). Emotion, analytic thinking and susceptibility to misinformation during the COVID-19 outbreak. Computers in Human Behavior, 133, 107295.
doi: 10.1016/j.chb.2022.107295 URL |
[74] |
Liu, J., & Qi, J. (2022). Online public rumor engagement model and intervention strategy in major public health emergencies: From the perspective of social psychological stress. International Journal of Environmental Research and Public Health, 19(4), 1988.
doi: 10.3390/ijerph19041988 URL |
[75] |
Locke, S. M., & Robinson, O. J. (2021). Affective bias through the lens of signal detection theory. Computational Psychiatry, 5(1), 4-20.
doi: 10.5334/cpsy.58 URL |
[76] |
Lv, W., Zhou, W., Gao, B., Han, Y., & Fang, H. (2022). New insights into the social rumor characteristics during the COVID-19 pandemic in China. Frontiers in Public Health, 10, 864955.
doi: 10.3389/fpubh.2022.864955 URL |
[77] |
Ma, B., Meng, X. X., Long, Q., Zhang, Z., Chen, S., Yang, J.,... Yuan, J. (2019). Automatic self-focused and situation-focused reappraisal of disgusting emotion by implementation intention: An ERP study. Cognitive Neurodynamics, 13(6), 567-577.
doi: 10.1007/s11571-019-09542-z pmid: 31741693 |
[78] |
MacKay, D. G., Johnson, L. W., Graham, E. R., & Burke, D. M. (2015). Aging, emotion, attention, and binding in the taboo stroop task: Data and theories. International Journal of Environmental Research and Public Health, 12(10), 12803-12833.
doi: 10.3390/ijerph121012803 pmid: 26473909 |
[79] |
Maertens, R., Roozenbeek, J., Basol, M., & van der Linden, S. (2021). Long-term effectiveness of inoculation against misinformation: Three longitudinal experiments. Journal of Experimental Psychology: Applied, 27(1), 1-16.
doi: 10.1037/xap0000315 URL |
[80] |
Maguire, P. A., Reay, R. E., & Looi, J. C. (2019). A sense of dread: Affect and risk perception in people with schizophrenia during an influenza pandemic. Australasian Psychiatry: Bulletin of Royal Australian and New Zealand College of Psychiatrists, 27(5), 450-455.
doi: 10.1177/1039856219839467 URL |
[81] | Malik, A., Bashir, F., & Mahmood, K. (2023). Antecedents and consequences of misinformation sharing behavior among adults on social media during COVID-19. Sage Open, 13(1), 21582440221147022. |
[82] |
Martel, C., Pennycook, G., & Rand, D. G. (2020). Reliance on emotion promotes belief in fake news. Cognitive Research: Principles and Implications, 5(1), 47.
doi: 10.1186/s41235-020-00252-3 |
[83] |
Mohammed, A. R., Kosonogov, V., & Lyusin, D. (2021). Expressive suppression versus cognitive reappraisal: Effects on self-report and peripheral psychophysiology. International Journal of Psychophysiology, 167, 30-37.
doi: 10.1016/j.ijpsycho.2021.06.007 URL |
[84] | Mohammed, S. A., Rajashekar, S., Giri Ravindran, S., Kakarla, M., Ausaja Gambo, M., Yousri Salama, M.,... Hamid, P. (2022). Does vaccination increase the risk of autism spectrum disorder? Cureus, 14(8), e27921. |
[85] |
Mokhtari, H. (2014). A quantitative survey on the influence of students' epistemic beliefs on their general information seeking behavior. The Journal of Academic Librarianship, 40(3-4), 259-263.
doi: 10.1016/j.acalib.2014.04.001 URL |
[86] |
Na, K., Garrett, R. K., & Slater, M. D. (2018). Rumor acceptance during public health crises: Testing the emotional congruence hypothesis. Journal of Health Communication, 23(8), 791-799.
doi: 10.1080/10810730.2018.1527877 pmid: 30325720 |
[87] |
Nepps, P., Lake, A., Fox, J., Martinez, C., Matsen, P., & Zimmerman, K. (2023). Improving health equity through health literacy education. Health Literacy Research and Practice, 7(2), e99-e104.
doi: 10.3928/24748307-20230522-01 pmid: 37306322 |
[88] |
Ning, P., Cheng, P., Li, J., Zheng, M., Schwebel, D. C., Yang, Y.,... Hu, G. (2021). COVID-19-related rumor content, transmission, and clarification strategies in China: Descriptive study. Journal of Medical Internet Research, 23(12), e27339.
doi: 10.2196/27339 URL |
[89] |
Niu, Z., Willoughby, J., & Zhou, R. (2021). Associations of health literacy, social media use, and self-efficacy with health information-seeking intentions among social media users in China: Cross-sectional survey. Journal of Medical Internet Research, 23(2), e19134.
doi: 10.2196/19134 URL |
[90] |
Pal, A., Chua, A. Y., & Goh, D. H. L. (2017). Does KFC sell rat? Analysis of tweets in the wake of a rumor outbreak. Aslib Journal of Information Management, 69(6), 660-673.
doi: 10.1108/AJIM-01-2017-0026 URL |
[91] |
Paynter, J., Luskin-Saxby, S., Keen, D., Fordyce, K., Frost, G., Imms, C.,... Ecker, U. (2019). Evaluation of a template for countering misinformation—real-world autism treatment myth debunking. Plos One, 14(1), e0210746.
doi: 10.1371/journal.pone.0210746 URL |
[92] |
Pennycook, G., de Neys, W., Evans, J. St. B. T., Stanovich, K. E., & Thompson, V. A. (2018). The mythical dual-process typology. Trends in Cognitive Sciences, 22(8), 667-668.
doi: S1364-6613(18)30099-8 pmid: 29937320 |
[93] |
Pennycook, G., Epstein, Z., Mosleh, M., Arechar, A. A., Eckles, D., & Rand, D. G. (2021). Shifting attention to accuracy can reduce misinformation online. Nature, 592(7855), 590-595.
doi: 10.1038/s41586-021-03344-2 |
[94] |
Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy- nudge intervention. Psychological Science, 31(7), 770-780.
doi: 10.1177/0956797620939054 pmid: 32603243 |
[95] |
Pennycook, G., & 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, 39-50.
doi: S0010-0277(18)30163-X pmid: 29935897 |
[96] |
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.
doi: 10.1111/jopy.12476 pmid: 30929263 |
[97] |
Pennycook, G., & Rand, D. G. (2022). Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation. Nature Communications, 13(1), 2333.
doi: 10.1038/s41467-022-30073-5 pmid: 35484277 |
[98] |
Pilditch, T. D., Roozenbeek, J., Madsen, J. K., & van der Linden, S. (2022). Psychological inoculation can reduce susceptibility to misinformation in large rational agent networks. Royal Society Open Science, 9(8), 211953.
doi: 10.1098/rsos.211953 URL |
[99] |
Pluviano, S., Della Sala, S., & Watt, C. (2020). The effects of source expertise and trustworthiness on recollection: The case of vaccine misinformation. Cognitive Processing, 21(3), 321-330.
doi: 10.1007/s10339-020-00974-8 pmid: 32333126 |
[100] |
Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades' evidence. Journal of Applied Social Psychology, 34(2), 243-281
doi: 10.1111/jasp.2004.34.issue-2 URL |
[101] |
Pröllochs, N., Bär, D., & Feuerriegel, S. (2021). Emotions explain differences in the diffusion of true vs. false social media rumors. Scientific Reports, 11(1), 22721.
doi: 10.1038/s41598-021-01813-2 pmid: 34811397 |
[102] |
Pu, D., Bonnici, R., Shorr, R., & Haines, T. (2022). Digital storytelling to facilitate consumer engagement in healthcare research. Health Promotion Journal of Australia, 33(3), 758-767.
doi: 10.1002/hpja.v33.3 URL |
[103] |
Pulido, C. M., Ruiz-Eugenio, L., Redondo-Sama, G., & Villarejo-Carballido, B. (2020). A new application of social impact in social media for overcoming fake news in health. International Journal of Environmental Research and Public Health, 17(7), 2430.
doi: 10.3390/ijerph17072430 URL |
[104] |
Rathje, S., Roozenbeek, J., van Bavel, J. J., & van der Linden, S. (2023). Accuracy and social motivations shape judgements of (mis)information. Nature Human Behaviour, 7(6), 892-903.
doi: 10.1038/s41562-023-01540-w pmid: 36879042 |
[105] |
Riedl, D., & Schüßler, G. (2017). The influence of doctor-patient communication on health outcomes: A systematic review. Zeitschrift Fur Psychosomatische Medizin Und Psychotherapie, 63(2), 131-150.
doi: 10.13109/zptm.2017.63.2.131 pmid: 28585507 |
[106] | Roozenbeek, J., van der Linden, S., Goldberg, B., Rathje, S., & Lewandowsky, S. (2022). Psychological inoculation improves resilience against misinformation on social media. Science Advances, 8(34), eabo6254. |
[107] |
Salehinejad, S., Jangipour Afshar, P., & Borhaninejad, V. (2021). Rumor surveillance methods in outbreaks: A systematic literature review. Health Promotion Perspectives, 11(1), 12-19.
doi: 10.34172/hpp.2021.03 pmid: 33758751 |
[108] |
Sanderson, J. A., Bowden, V., Swire-Thompson, B., Lewandowsky, S., & Ecker, U. K. H. (2023). Listening to misinformation while driving: Cognitive load and the effectiveness of (repeated) corrections. Journal of Applied Research in Memory and Cognition, 12(3), 325-334.
doi: 10.1037/mac0000057 pmid: 37829768 |
[109] |
Scarantino, A., Hareli, S., & Hess, U. (2022). Emotional expressions as appeals to recipients. Emotion, 22(8), 1856-1868.
doi: 10.1037/emo0001023 URL |
[110] |
Scherer, L. D., & Pennycook, G. (2020). Who is susceptible to online health misinformation? American Journal of Public Health, 110(S3), S276-S277.
doi: 10.2105/AJPH.2020.305908 URL |
[111] |
Schiebener, J., & Brand, M. (2015). Decision making under objective risk conditions-a review of cognitive and emotional correlates, strategies, feedback processing, and external influences. Neuropsychology Review, 25(2), 171-198.
doi: 10.1007/s11065-015-9285-x pmid: 25894847 |
[112] |
Schmid, P., & Betsch, C. (2019). Effective strategies for rebutting science denialism in public discussions. Nature Human Behaviour, 3(9), 931-939.
doi: 10.1038/s41562-019-0632-4 pmid: 31235861 |
[113] |
Shahsavari, S., Holur, P., Wang, T., Tangherlini, T. R., & Roychowdhury, V. (2020). Conspiracy in the time of corona: Automatic detection of emerging COVID-19 conspiracy theories in social media and the news. Journal of Computational Social Science, 3(2), 279-317.
doi: 10.1007/s42001-020-00086-5 |
[114] |
Sørensen, K., van den Broucke, S., Fullam, J., Doyle, G., Pelikan, J., Slonska, Z.,... (HLS-EU) Consortium Health Literacy Project European. (2012). Health literacy and public health: A systematic review and integration of definitions and models. BMC Public Health, 12, 1-13.
doi: 10.1186/1471-2458-12-1 URL |
[115] | Swire-Thompson, B., Miklaucic, N., Wihbey, J. P., Lazer, D., & DeGutis, J. (2022). The backfire effect after correcting misinformation is strongly associated with reliability. Journal of Experimental Psychology. General, 151(7), 1655-1665. |
[116] |
Tian, R., Zhang, X., & Liu, Y. (2015). SSIC model: A multi-layer model for intervention of online rumors spreading. Physica A: Statistical Mechanics and its Applications, 427, 181-191.
doi: 10.1016/j.physa.2015.02.008 URL |
[117] |
Trendel, O., & Werle, C. O. (2016). Distinguishing the affective and cognitive bases of implicit attitudes to improve prediction of food choices. Appetite, 104, 33-43.
doi: 10.1016/j.appet.2015.10.005 pmid: 26471802 |
[118] |
Trevors, G., & Duffy, M. C. (2020). Correcting COVID-19 misconceptions requires caution. Educational Researcher, 49(7), 538-542.
doi: 10.3102/0013189X20953825 URL |
[119] |
Trotochaud, M., Smith, E., Hosangadi, D., & Sell, T. K. (2023). Analyzing social media messaging on masks and vaccines: A case study on misinformation during the COVID-19 pandemic. Disaster Medicine and Public Health Preparedness, 10, 1-9.
doi: 10.1017/dmp.2016.10 URL |
[120] |
Vaidyanathan, G. (2020). News feature: Finding a vaccine for misinformation. Proceedings of the National Academy of Sciences of the United States of America, 117(32), 18902-18905.
doi: 10.1073/pnas.2013249117 pmid: 32699146 |
[121] | van der Linden, S., Roozenbeek, J., & Compton, J. (2020). Inoculating against fake news about COVID-19. Frontiers in Psychology, 11, 2928. |
[122] |
van der Linden, S. (2022). Misinformation: Susceptibility, spread, and interventions to immunize the public. Nature Medicine 28(3), 460-467.
doi: 10.1038/s41591-022-01713-6 pmid: 35273402 |
[123] |
van de Ridder, J. M., Peters, C. M., Stokking, K. M., de Ru, J. A., & Ten Cate, O. T. (2015). Framing of feedback impacts student's satisfaction, self-efficacy and performance. Advances in Health Sciences Education: Theory and Practice, 20(3), 803-816.
doi: 10.1007/s10459-014-9567-8 pmid: 25542198 |
[124] |
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151.
doi: 10.1126/science.aap9559 pmid: 29590045 |
[125] | Wang, D., & Qian, Y. (2021). Echo chamber effect in rumor rebuttal discussions about COVID-19 in China: Social media content and network analysis study. Journal of Medical Internet Research, 23(3), e27009. |
[126] | Wang, S., Li, Z., Wang, Y., & Zhang, Q. (2019). Machine learning methods to predict social media disaster rumor refuters. International Journal of Environmental Research and Public Health, 16(8), 1452. |
[127] | Wei, J., & Zhang, L. (2019, August). Analysis of information dissemination based on emotional and the evolution life cycle of public opinion. 2019 International Conference on Robots & Intelligent System (ICRIS), Haikou, China. |
[128] | Wood, R. M., Juanchich, M., Ramirez, M., & Zhang, S. (2023). Promoting COVID-19 vaccine confidence through public responses to misinformation: The joint influence of message source and message content. Social Science & Medicine (1982), 324, 115863. |
[129] |
Xue, H., & Taylor, L. (2023). When do people believe, check, and share health rumors on social media? Effects of evidence type, health literacy, and health knowledge. Journal of Health Psychology, 28(7), 607-619.
doi: 10.1177/13591053221125992 URL |
[130] | Yang, W., Wang, S., Peng, Z., Shi, C., Ma, X., & Yang, D. (2021). Know it to defeat it:Exploring health rumor characteristics and debunking efforts on Chinese social media during COVID-19 crisis. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 1157-1168. |
[131] |
Zhang, S. W., Wang, Y., & Wei, Y. J. (2022). Follow or not? Descriptive norms and public health compliance: Mediating role of risk perception and moderating effect of behavioral visibility. Frontiers in Psychology, 13, 1040218.
doi: 10.3389/fpsyg.2022.1040218 URL |
[132] |
Zhao, J., Fu, C., & Kang, X. (2022). Content characteristics predict the putative authenticity of COVID-19 rumors. Frontiers in Public Health, 10, 920103.
doi: 10.3389/fpubh.2022.920103 URL |
[133] | Zhong, Z. (2021). Internet public opinion evolution in the COVID-19 event and coping strategies. Disaster Medicine and Public Health Rreparedness, 15(6), e27-e33. |
[134] |
Zhou, J., Ghose, B., Wang, R., Wu, R., Li, Z., Huang, R., Feng, D., Feng, Z., & Tang, S. (2020). Health perceptions and misconceptions regarding COVID-19 in China: Online survey study. Journal of Medical Internet Research, 22(11), e21099.
doi: 10.2196/21099 URL |
[135] |
Zhu, L., Wang, X., Zhang, Z., & Shen, S. (2020). Global stability and bifurcation analysis of a rumor propagation model with two discrete delays in social networks. International Journal of Bifurcation and Chaos, 30(12), 2050175.
doi: 10.1142/S0218127420501758 URL |
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