How Cognitive Bias Shapes Gambling Behaviour and Consumer Vulnerability
DOI:
https://doi.org/10.64420/ijcp.v3i2.521Keywords:
Cognitive bias, Digital marketing, Gambling behaviour, Consumer vulnerability, Mental HealthAbstract
Background: The rapid expansion of digital gambling platforms significantly amplifies consumer vulnerability and gambling related harm, yet interdisciplinary literature synthe-sizing cognitive distortions, AI driven marketing personalization, and regulatory gover-nance gaps remains limited. Objective: This study aims to synthesize empirical and theo-retical evidence on how cognitive biases shape gambling behavior and consumer vulnera-bility across psychological, technological, socioeconomic, and regulatory dimensions. Methods: A qualitative literature review combining narrative and scoping review designs was conducted, examining 37 eligible studies selected via the PRISMA framework and ana-lyzed using thematic synthesis. Results: The findings demonstrate that cognitive biases, including the illusion of control, overconfidence bias, gambler's fallacy, and heuristic thin-king, interact with AI driven marketing personalization to reinforce persistent high-risk betting. These dynamics disproportionately harm vulnerable populations, culminating in acute psychological distress, severe debt accumulation, and broader socioeconomic insta-bility exacerbated by cross border regulatory deficits. Conclusion: Mitigating digital gam-bling harm requires an integrated framework combining ethical AI governance, transpa-rent marketing standards, public health interventions, and robust regulatory enforcement. Originality/Value: This review article advances scientific knowledge in the fields of beha-vioral economics, consumer psychology, and public health by synthesizing the evolving literature regarding cognitive biases and predictive digital marketing that has remained underexplored. It maps theoretical and methodological gaps while serving as a strategic reference for regulatory bodies and policymakers in formulating responsible gambling frameworks.
References
Abel, M., Cole, S., & Zia, B. (2021). Changing gambling behavior through experiential learning. The World Bank Economic Review, 35(3), 745–763. https://doi.org/10.1093/wber/lhaa016
Al-Hadrawi, B. K., & Jawad, A. R. (2024). Cognitive marketing and strategic drift: An exploration of cognitive bias in marketing decision-making. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 933–946.
Badu, E. (2024). The impact of illegal online gambling platforms on vulnerable populations. Gambling Research Journal, 15(2), 45–63.
Bahangulu, K., & Berko, L. O. (2025). Algorithmic bias, data ethics, and governance: Ensuring fairness, transparency and compliance in AI-powered business analytics applications. World Journal of Advanced Research and Reviews, 25(2), 1746–1763. https://doi.org/10.30574/wjarr.2025.25.2.0571
Bedford, K. (2024). Gambling control in a cost-of-living crisis: An analysis of the White Paper High Stakes: Gambling Reform for the Digital Age (2023). The Modern Law Review. https://doi.org/10.1111/1468-2230.12904
Bolat, E., Panourgia, C., Yankouskaya, A., & Kelly, M. (2024). Influencer driven gambling content and its impact on children and young people: Research snapshot. Gambling Research Exchange Ontario. https://www.greo.ca/Modules/EvidenceCentre/files/Bolat%20et%20al%20(2024)_Research%20Snapshot_Influencer-driven%20gambling%20content%20and%20its%20impact%20on%20children%20and%20young%20people.pdf
Chegere, M. J., & Falco, P. (2025). The magic of the game: Experimental evidence on sports betting behavior. Journal of Economic Behavior & Organization, 240, 107301. https://doi.org/10.1016/j.jebo.2025.107301
Chinnathurai, G. D. (2025). AI driven marketing: Ethical dilemmas in data privacy and consumer manipulation. In AI and machine learning in marketing (p. 51). Shanlax Publications. https://www.researchgate.net/publication/389815152
Delfabbro, P., & Winefield, A. H. (2000). Predictors of irrational thinking in regular slot machine gamblers. The Journal of Psychology, 134(2), 117–128. https://doi.org/10.1080/00223980009600854
Elem, S., Ugochukwu, S., Orji-Egwu, A., & Nwutulor, M. (2024). Television advertising influence and the gambling habits of students in selected tertiary institutions in South-East Nigeria. African Journal of Politics and Administrative Studies, 17(1), 1001–1026. https://doi.org/10.4314/ajpas.v17i1.49
Gainsbury, S. M., Delfabbro, P., King, D. L., & Hing, N. (2016). An exploratory study of gambling operators’ use of social media and the latent messages conveyed. Journal of Gambling Studies, 32(1), 125–141. https://doi.org/10.1007/s10899-015-9525-2
García-Pérez, Á., Krotter, A., & Aonso-Diego, G. (2024). The impact of gambling advertising and marketing on online gambling behavior: An analysis based on Spanish data. Public Health, 234, 170–177. https://doi.org/10.1016/j.puhe.2024.06.025
Hautamäki, S., [et al.]. (2025). Methodologies and estimates of social costs of gambling: A scoping review. Social Science & Medicine, 371, 117940. https://doi.org/10.1016/j.socscimed.2025.117940
Hörnle, J., & Zammit, B. (2010). Cross-border online gambling law and policy (1st ed.). Routledge. https://doi.org/10.4324/9781848443020
International Chamber of Commerce. (2020). The benefits of advertising self regulation in ensuring responsible and compliant advertising. https://iccwbo.org/wp-content/uploads/sites/3/2020/06/2020-icc-srtoolkit-benefits-of-sr.pdf
Islam, M. S., Azizzadeh, F., & Ali, M. (2024). Ethical deployment of cognitive biases in marketing: A framework for responsible influence. Advances in Psychological Research, 3(2), Article 1363. https://doi.org/10.59400/apr.v3i2.1363
Kabir, M. H., Sultana, S., Hossain, M. M., & Islam, S. M. A. (2025). The impact of digital marketing strategies on consumer behavior: A comprehensive review. Business & Social Sciences Review. https://doi.org/10.25163/business.3110269
Karami, A., Shemshaki, M., & Ghazanfar, M. A. (2024). Exploring the ethical implications of AI-powered personalisation in digital marketing. Data Intelligence. https://doi.org/10.3724/2096-7004.di.2024.0055
Kerti, R. M. (2025). Consumer protection in the digital economy: A legal analysis of e-commerce practices and regulatory challenges. Lex Localis - Journal of Local Self-Government, 23(10), 776–786. https://doi.org/10.52152/801041
Lockton, D. (2012). Cognitive biases, heuristics and decision-making in design for behaviour change. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2124557
Marionneau, V., & Nikkinen, J. (2022). Gambling-related suicides and suicidality: A systematic review of qualitative evidence. Frontiers in Psychiatry, 13, 980303. https://doi.org/10.3389/fpsyt.2022.980303
Mihai, F., Aleca, O. E., & Iordache, D.-M. (2025). AI personalisation and its influence on online gamblers’ behavior. Behavioral Sciences, 15(6), 779. https://doi.org/10.3390/bs15060779
National Gambling Board. (2016). Final summary: Illegal gambling research report (28 September 2016). https://www.ngb.org.za/wp-content/uploads/2020/06/Final-Summary-illegal-gambling-research-report-28-Sep-16.pdf
National Gambling Board. (2024). Annual report 2023/24. Department of Trade, Industry and Competition. https://www.ngb.org.za/wp-content/uploads/2024/09/NGB-AR2024-FINAL.pdf
National Gambling Board. (2025). Annual report 2024/25. Department of Trade, Industry and Competition. https://www.thedtic.gov.za/wp-content/uploads/Re-Revised-NGB-AR.pdf
Paré, G., & Kitsiou, S. (2017). Methods for literature reviews. In F. Lau & C. Kuziemsky (Eds.), Handbook of eHealth evaluation: An evidence-based approach (Chapter 9). University of Victoria. https://www.ncbi.nlm.nih.gov/books/NBK481583
Philander, K. S., & Gainsbury, S. M. (2021). Overconfidence in understanding of how electronic gaming machines work is related to positive attitudes. Frontiers in Psychology, 11, 609731. https://doi.org/10.3389/fpsyg.2020.609731
Rockloff, M., Russell, A. M. T., Hing, N., Browne, M., Thorne, H., Newall, P., & Visintin, T. (2024). Illusions of control: A quasi-experiment comparing skill-based and traditional slot machines. Journal of Behavioral Addictions, 13(4), 962–973. https://doi.org/10.1556/2006.2024.00057
Rossi, R., & Nairn, A. (2022). New developments in gambling marketing: The rise of social media ads and its effect on youth. Current Addiction Reports, 9, 10224. https://doi.org/10.1007/s40429-022-00457-0
Savolainen, T., Roukka, T., & Oksanen, A. (2025). The impact of gambling advertising online: A longitudinal study on exposure and harm. International Gambling Studies. https://doi.org/10.1080/14459795.2025.2548220
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Sukhera, J. (2022). Narrative reviews: Flexible, rigorous, and practical. Journal of Graduate Medical Education, 14(4), 414–417. https://doi.org/10.4300/JGME-D-22-00480.1
Torrance, J., John, B., Greville, J., O’Hanrahan, M., Davies, N., & Roderique-Davies, G. (2021). Emergent gambling advertising: A rapid review of marketing content, delivery and structural features. BMC Public Health, 21, 718. https://doi.org/10.1186/s12889-021-10805-w
Vijayakumar, L., & Vijayakumar, V. (2023). Online gambling and suicide: Gambling with lives. Indian Journal of Psychiatry, 65(1), 3–4. https://doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_817_22
Volosevici, D., & Isbasoiu, G. D. (2025). Surveillance as a socio-technical system: Behavioral impacts and self-regulation in monitored environments. Systems, 13(7), 614. https://doi.org/10.3390/systems13070614
Willie, M. M. (2026, February). Cognitive bias in digital gambling: Understanding behavioural risks in South Africa [Preprint]. ResearchGate. https://doi.org/10.13140/RG.2.2.17554.52160
World Health Organization. (2024, December 2). Gambling. WHO. https://www.who.int/news-room/fact-sheets/detail/gambling
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