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MEDIA & COMMUNICATION STUDIES

The moderating effect of fake news on the relationship between behavioral patterns and vaccines

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Article: 2103900 | Received 22 Feb 2022, Accepted 17 Jul 2022, Published online: 02 Aug 2022

References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–16.
  • Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26(9), 1113–1127.
  • Allom, V., Mullan, B., Smith, E., Hay, P., & Raman, J. (2018). Breaking bad habits by improving executive function in individuals with obesity. BMC Public Health, 18(1), 1–8. https://doi.org/10.1186/s12889-018-5392-y
  • Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: Modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56(1), 101475. https://doi.org/10.1016/j.tele.2020.101475
  • Arquam, M., Singh, A., & Sharma, R. (2021). A blockchain-based secured and trusted framework for information propagation on online social networks. Social Network Analysis and Mining, 11(1), 1–16. https://doi.org/10.1007/s13278-021-00754-y
  • Arvola, A., Vassallo, M., Dean, M., Lampila, P., Saba, A., Lähteenmäki, L., & Shepherd, R. (2008). Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour. Appetite, 50(2–3), 443–454. https://doi.org/10.1016/j.appet.2007.09.010
  • Bakir, V., & McStay, A. (2018). Fake news and the economy of emotions: Problems, causes, solutions. Digital Journalism, 6(2), 154–175. https://doi.org/10.1080/21670811.2017.1345645
  • Baumeister, R. F., & Vohs, K. D. (2007). Self‐regulation, ego depletion, and motivation. Social and Personality Psychology Compass, 1(1), 115–128. https://doi.org/10.1111/j.1751-9004.2007.00001.x
  • Bayless, A. K., Wyatt, T. H., & Raynor, H. (2021). Self-regulation in pediatric nursing literature: An evolutionary concept exploration. Research and Theory for Nursing Practice.
  • Black, N., Mullan, B., Sharpe, L., Baumeister, R. F., & Vohs, K. D. (2017). Predicting heavy episodic drinking using an extended temporal self-regulation theory. Addictive Behaviors, 73(1), 111–118. https://doi.org/10.1016/j.addbeh.2017.04.017.
  • Boté-Vericad, J. J., Baumeister, R. F., & Vohs, K. D. (2020). FAKE NEWS AND INFORMATION PROFESSIONALS’CODES OF ETHICS. Telos, 22(3), 567–578. https://doi.org/10.36390/telos223.07
  • Bullock, D., Mittenzwei, K., & Josling, T. (2019). Social welfare effects of transparency and misinformation in a political economy. Journal of Agricultural and Applied Economics, 51(3), 485–494. https://doi.org/10.1017/aae.2019.17
  • Caudwell, K. M., Mullan, B. A., & Hagger, M. S. (2015). Combining motivational and volitional approaches to reducing excessive alcohol consumption in pre-drinkers: A theory-based intervention protocol. BMC Public Health, 16(1), 1–12.
  • Ceron, W., Sanseverino, G. G., de-Lima-Santos, M. F., & Quiles, M. G. (2021). COVID-19 fake news diffusion across Latin America. Social Network Analysis and Mining, 11(1), 1–20. https://doi.org/10.1007/s13278-021-00753-z
  • Chen, S., Zhang, Y., Liang, L., & Shen, T. (2021). Does paradoxical leadership facilitate leaders’ task performance? A perspective of self-regulation theory. International Journal of Environmental Research and Public Health, 18(7), 3505. https://doi.org/10.3390/ijerph18073505
  • Cheng, Y., & Chen, Z. F. (2020). The influence of presumed fake news influence: Examining public support for corporate corrective response, media literacy interventions, and governmental regulation. Mass Communication and Society, 23(5), 705–729. https://doi.org/10.1080/15205436.2020.1750656
  • Cohen, A., Ekwueme, P. O., Sacotte, K. A., Bajwa, L., Gilpin, S., & Heard-Garris, N. (2021). Melanincholy”: A qualitative exploration of youth media use. Vicarious Racism, and Perceptions of Health. Journal of Adolescent Health, 69(2), 288–293. https://doi.org/10.1016/j.jadohealth.2020.12.128
  • Cowper, A. (2020). Covid-19: Are we getting the communications right?. Bmj, 368.
  • Dauman, N., & Dauman, R. (2021). An empowerment model for individuals with chronic Tinnitus. Ear and Hearing, 42(2), 425–442. https://doi.org/10.1097/AUD.0000000000000946
  • Dawson, J. F., & Richter, A. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. The Journal of Applied Psychology, 91(4), 917–926.
  • El-Far Cardo, A., Kraus, T., & Kaifie, A. (2021). Factors that shape people’s attitudes towards the COVID-19 pandemic in Germany—The influence of media. Politics and Personal Characteristics. International Journal of Environmental Research and Public Health, 18(15), 7772. https://doi.org/10.3390/ijerph18157772.
  • Evans, R., Norman, P., & Webb, T. L. (2017). Using Temporal Self-Regulation Theory to understand healthy and unhealthy eating intentions and behaviour. Appetite, 116, 357–364. https://doi.org/10.1016/j.appet.2017.05.022
  • Evans-Paulson, R., Widman, L., Brasileiro, J., Maheux, A. J., & Choukas-Bradley, S., & Taeyoung Lee. (2021). How people perceive influence of fake news and why it matters. Communication Quarterly, 69(5), 525–543. https://doi.org/10.1080/01463373.2021.1954677.
  • Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2), 177–188.
  • Ghazizadeh, M., Lee, J. D., & Boyle, L. N. (2012). Extending the technology acceptance model to assess automation. Cognition, Technology & Work, 14(1), 39–49. https://doi.org/10.1007/s10111-011-0194-3
  • Globesec Policy Institute (2017 24 august, 2021) Web page: https://www.globsec.org/wp-content/uploads/2017/09/globsec_trends_2017.pdf. Extracted
  • Gwyther, H., & Holland, C. (2015). An intervention encouraging planned self-regulation and goal setting in drivers across the lifespan: Testing an extended theory of planned behaviour. Journal of Transport & Health, 2(2), 289–301. https://doi.org/10.1016/j.jth.2015.02.007
  • Hall, P. A., & Fong, G. T. (2007). Temporal self-regulation theory: A model for individual health behavior. Health Psychology Review, 1(1), 6–52. https://doi.org/10.1080/17437190701492437
  • Imani, B., Allahyari, M. S., Bondori, A., Surujlal, J., & Sawicka, B. (2021). Determinants of organic food purchases intention: The application of an extended theory of planned behaviour Future of Food: Journal on Food, Agriculture & Society 9(1), 1–12 doi:10.17170/kobra-202011192216.
  • Inzlicht, M., Werner, K. M., Briskin, J. L., & Roberts, B. W. (2021). Integrating models of self-regulation. Annual Review of Psychology, 72(1), 319–345. https://doi.org/10.1146/annurev-psych-061020-105721
  • Jones, C. M., & Schüz, B. (2021). Stable and momentary psychosocial correlates of everyday smoking: An application of temporal self-regulation theory. Journal of Behavioral Medicine, 45(1) , 1–12.
  • Kapsikar, S., Saha, I., Agarwal, K., Kavitha, V., & Zhu, Q. (2020). Controlling fake news by collective tagging: A branching process analysis. IEEE Control Systems Letters, 5(6), 2108–2113. https://doi.org/10.1109/LCSYS.2020.3045299
  • Kumari, R., Ashok, N., Ghosal, T., & Ekbal, A. (2021). Misinformation detection using multitask learning with mutual learning for novelty detection and emotion recognition. Information Processing & Management, 58(5), 102631. https://doi.org/10.1016/j.ipm.2021.102631
  • Lazer, D. M., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., & Zittrain, J. L. (2018). The science of fake news. Science, 359(6380), 1094–1096. https://doi.org/10.1126/science.aao29
  • Lee, S., Lee, S., & Ryu, J. Y. (2021). Do competent managers hoard bad news? Self-regulation theory and Korean evidence. Finance Research Letters, 41(1), 101836. https://doi.org/10.1016/j.frl.2020.101836
  • Lee, T. (2021). How people perceive influence of fake news and why it matters. Communication Quarterly 41(1), 1–23. https://doi.org/10.1016/j.frl.2020.101836.
  • Lewandowsky, S., Ecker, U. K. H., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353–369. https://doi.org/10.1016/j.jarmac.2017.07.008.
  • Lewandowsky, S., Smillie, L., Garcia, D., Hertwig, R., Weatherall, J., Egidy, S., Robertson, R. E., O’Connor, C., Kozyreva, A., Lorenz-Spreen, P., Blaschke, Y., & Leiser, M. R. (2020). Technology and democracy: Understanding the influence of online technologies on political behaviour and decision-making. Publications Office of the European Union. https://doi.org/10.2760/709177.
  • 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. Advance online publication https://doi.org/10.1080/10463283.2021.1876983.
  • Liddelow, C., Mullan, B., & Boyes, M. (2021). Understanding the predictors of medication adherence: Applying temporal self-regulation theory. Psychology & Health, 36(5), 529–548. https://doi.org/10.1080/08870446.2020.1788715
  • Lucarelli, C., Mazzoli, C., & Severini, S. (2020). Applying the theory of planned behavior to examine pro-environmental behavior: The moderating effect of COVID-19 beliefs. Sustainability, 12(24), 10556. https://doi.org/10.3390/su122410556
  • Lutzke, D., Drummond, Slovic, Slovic, C., Árvai, P., & Árvai, J. (2019). Priming critical thinking: Simple interventions limit the influence of fake news about climate change on Facebook. Global Environmental Change, 58(2), 101964. https://doi.org/10.1016/j.gloenvcha.2019.101964
  • Maiella, R., La Malva, P., Marchetti, D., Pomarico, E., Di Crosta, A., Palumbo, R., Cetara, L., Di Domenico, A., & Verrocchio, M. C. (2020). The psychological distance and climate change: A systematic review on the mitigation and adaptation behaviors. Front. Psychol, 2020(2), 11. https://doi.org/10.3389/fpsyg.2020.568899.
  • Manzanero, N. M., & Ramírez, M. Y. (2018). Diálogos sobre educación democrática: Mirada intercultural de la formación de ciudadanos latinoamericanos. Telos, 20(1), 101–128. https://doi.org/10.36390/telos201.06
  • Mashuri, A., Putra, I. E., Kavanagh, C., Zaduqisti, E., Sukmawati, F., Sakdiah, H., & Selviana, S. (2021). The socio-psychological predictors of support for post-truth collective action. The Journal of Social Psychology, 162162(4), 1–19. https://doi.org/10.1080/00224545.2021.1935678.
  • Meel, P., & Vishwakarma, D. K. (2021). A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles. Expert Systems with Applications, 177(1), 115002. https://doi.org/10.1016/j.eswa.2021.115002.
  • Melro, A., & Pereira, S. (2019). Fake or not fake? Perceptions of undergraduates on (dis) information and critical thinking. Medijske studije, 10(19), 46–67.
  • Moon, K., Riege, A., Gourdon-Kanhukamwe, A., & Vallée-Tourangeau, G. (2021). Development and validation of the treatment self-regulation questionnaire assessing healthcare professionals’ motivation for flu vaccination (TSRQ-Flu). Psychology & Health.
  • Neuwirth, R. J. (2021). The global regulation of “Fake News” in the time of oxymora: Facts and fictions about the COVID-19 pandemic as coincidences or predictive programming? International Journal for the Semiotics of Law-Revue Internationale de Sémiotique Juridique, 35(1), 1–27. https://doi.org/10.1007/s11196-021-09840.
  • Nir, L. (2011). Motivated reasoning and public opinion perception. Public Opinion Quarterly, 75(3), 504–532. https://doi.org/10.1093/poq/nfq076
  • Nutbeam, D. (2000). Health literacy as a public health goal: A challenge for contemporary health education and communication strategies into the 21st century. Health Promotion International, 15(3), 259–267.
  • Osmundsen, M., Bor, A., Vahlstrup, P. B., Bechmann, A., & Petersen, M. B. (2020). Partisan polarization is the primary psychological motivation behind “fake news” sharing on Twitter, 115(3), 999–1015. https://doi.org/10.1017/S0003055421000290.
  • Patz, J. A., Daszak, P., Tabor, G. M., Aguirre, A. A., Pearl, M., Epstein, J., Wolfe, N. D., Kilpatrick, A. M., Foufopoulos, J., Molyneux, D., & Bradley, D. J. (2004). Unhealthy landscapes: Policy recommendations on land use change and infectious disease emergence. Environmental Health Perspectives, 112(10), 1092–1098. https://doi.org/10.1289/ehp.6877.
  • Peters, C., & Broersma, M. J. (Eds.). (2013). Rethinking journalism: Trust and participation in a transformed news landscape. Routledge.
  • Ping, R. A., Jr. (1996). Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis. Psychological Bulletin, 119(1), 166.
  • Rini, R. (2017). Fake news and partisan epistemology. Kennedy Institute of Ethics Journal, 27(2S), E43–E64. https://doi.org/10.1353/ken.2017.0025
  • Ross, C. E., & Wu, C. L. (1995). The links between education and health. American Sociological Review, 719–745. https://doi.org/10.2307/2096319
  • Sádaba, C. Y., & Salaverría, R. (2023). Combatir la desinformación con alfabetización mediática: Análisis de las tendencias en la Unión Europea. Revista Latina de Comunicación Social, 81(1), 17–33 . https://www.doi.org/10.4185/RLCS-2023-1552
  • Samal, J. (2021). Impact of COVID-19 infodemic on psychological wellbeing and vaccine hesitancy. The Egyptian Journal of Bronchology, 15(1), 1–6. https://doi.org/10.1186/s43168-021-00061-2
  • Shao, J., Taisch, M., & Mier, M. O. (2017). Influencing factors to facilitate sustainable consumption: From the experts' viewpoints. Journal of Cleaner Production, 142, 203–216.
  • Sheeran, P. (2002). Intention—behavior relations: A conceptual and empirical review. European Review of Social Psychology, 12(1), 1–36.
  • Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017). Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter, 19(1), 22–36. https://doi.org/10.1145/3137597.3137600
  • Silva, A., Han, Y., Luo, L., Karunasekera, S., & Leckie, C. (2021). Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. Information Processing & Management, 58(5), 102618. https://doi.org/10.1016/j.ipm.2021.102618
  • Silverman, C., & Singer-Vine, J. (2016). Most Americans who see fake news believe it, new survey says. BuzzFeed news, 6(2).
  • Sobhani, A., & Farooq, B. (2018). Impact of smartphone distraction on pedestrians’ crossing behaviour: An application of head-mounted immersive virtual reality. Transportation Research. Part F, Traffic Psychology and Behaviour, 58, 228–241.
  • Tkhostov, A. S., Rikel, A. M., & Vialkova, M. Y. (2022). Fake news through the eyes of three generations of Russians: Differences and Similarities in Social Representations. Psychology in Russia State of the Art, 15(1), 83–102.
  • Van der Linden, S., Roozenbeek, J., Maertens, R., Basol, M., Kácha, O., Rathje, S., & Traberg, C. (2021). How can psychological science help counter the spread of fake news? The Spanish Journal of Psychology, 24(25), 1–9. https://doi.org/10.1017/SJP.2021.23
  • Verma, P. K., Agrawal, P., Amorim, I., & Prodan, R. (2021). WELFake: Word embedding over linguistic features for fake news detection. IEEE Transactions on Computational Social Systems.
  • Viola, C., Toma, P., Manta, F., & Benvenuto, M. (2021). The more you know, the better you act? Institutional communication in Covid-19 crisis management. Technological Forecasting and Social Change, 120929(2)1–15. https://doi.org/10.1016/j.techfore.2021.120929.
  • World Economic Forum (2021 august 24, 2021) web page: https://www.weforum.org/agenda/2021/08/covid-19-pandemic-misinformation-journalism/. Extracted
  • Yadav, R., & Pathak, G. S. (2016). Young consumers' intention towards buying green products in a developing nation: Extending the theory of planned behavior. Journal of Cleaner Production, 135, 732–739. https://doi.org/10.1016/j.jclepro.2016.06.120
  • Zhang, X., & Ghorbani, A. A. (2020). An overview of online fake news: Characterization, detection, and discussion. Information Processing & Management, 57(2), 102025. https://doi.org/10.1016/j.ipm.2019.03.004