Cognitive Biases in Digital Gambling: Insights from the South African Context

Authors

DOI:

https://doi.org/10.64420/ijcp.v3i1.513

Keywords:

Cognitive biases, Digital gambling, Consumer behaviour, Engagement, Risk perception

Abstract

Background: The rapid growth of digital gambling platforms has transformed consumer engagement while increasing psychological vulnerabilities, particularly cognitive biases that distort decision-making and risk perception. Objective: This study aims to analyse how cognitive biases influence consumer behaviour in digital gambling environments in the South African context, focusing on the interactions among cognition, platform design, and socio-economic factors. Method: A qualitative document analysis was employed, synthesising multidisciplinary literature from cognitive psychology, behavioural economics, and digital marketing to identify patterns of bias activation and reinforcement. Results: The findings reveal that overconfidence, the illusion of control, and the availability heuristic are systematically exploited through gamification, personalised marketing, and algorithmic targeting, leading to increased engagement and risk-taking behaviour. Socio-economic pressures and cultural narratives of financial mobility further intensify these effects. Conclusion: Cognitive biases operate within a socio-technical system where digital environments actively reinforce irrational decision-making, requiring more comprehensive intervention approaches. Contribution: This study offers an integrated framework that combines cognitive, technological, and contextual dimensions, advancing the development of effective consumer protection strategies, ethical platform design, and responsible gambling policies.

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). Towards understanding contemporary gambling advertising in Sub‐Saharan Africa. Public Health Challenges, 3(4), e70017. https://doi.org/10.1002/puh2.70017

Bahangulu, J. 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

Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y. S., Gašević, D., & Mello, R. F. (2021). Automatic feedback in online learning environments: A systematic literature review. Computers and Education: Artificial Intelligence, 2, 100027. https://doi.org/10.1016/j.caeai.2021.100027

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. Shanlax Publications.

Citroen, C. L. (2011). The role of information in strategic decision-making. International journal of information management, 31(6), 493-501. https://doi.org/10.1016/j.ijinfomgt.2011.02.005

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

Dilaku, V. A., Obasi, D. C., & Esi-Ubani, O. C. (2025). Impact of social norms and peer pressure on the adoption of sports betting apps among teenagers in Southeast Nigeria: A marketing perspective. International Academic Journal of Management and Marketing, 11(3), 1-14.

Drosatos, G., Nalbadis, F., Arden-Close, E., Baines, V., Bolat, E., Vuillier, L., ... & Ali, R. (2018). Empowering responsible online gambling by real-time persuasive information systems. In 2018 12th International conference on research challenges in information science (RCIS) (pp. 1-11). IEEE. https://ieeexplore.ieee.org/abstract/document/8406671

Dutt, V., & Gonzalez, C. (2012). Decisions from experience reduce misconceptions about climate change. Journal of Environmental Psychology, 32(1), 19-29. https://doi.org/10.1016/j.jenvp.2011.10.003

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

Finocchiaro, J., Maio, R., Monachou, F., Patro, G. K., Raghavan, M., Stoica, A. A., & Tsirtsis, S. (2021). Bridging machine learning and mechanism design towards algorithmic fairness. In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency (pp. 489-503). https://doi.org/10.1145/3442188.3445912

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

Guillou-Landreat, M., Gallopel-Morvan, K., Lever, D., Le Goff, D., & Le Reste, J.-Y. (2021). Gambling marketing strategies and the Internet: What do we know? A systematic review. Frontiers in Psychiatry, 12, 583817. https://doi.org/10.3389/fpsyt.2021.583817

Islam, M. S., Azizzadeh, F., & Ali, M. (2024). Ethical deployment of cognitive biases in marketing: A framework for responsible influence. Advances in Psychology 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

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

Mathew, J., Mer, A., Shekhar, S., & Arora, S. (2025). Recent Trends in Digital Marketing: Integrating Gamification and Interactive Elements for Enhancing Digital Experience. https://doi.org/10.1108/978-1-83662-188-120251027

Mihai, F., Aleca, O. E., & Iordache, D.-M. (2025). AI personalization and its influence on online gamblers’ behavior. Behavioral Sciences, 15(6), 779. https://doi.org/10.3390/bs15060779

National Gambling Board of South Africa. (2024). National Gambling Statistics Financial Year Ending 31 March 2024 (Audited). Pretoria: NGB. https://www.ngb.org.za/wp-content/uploads/2024/11/National-Gambling-Statistics-Financial-Year-Ending-31-March-2024-Audited.pdf

National Gambling Board. (2013). The social impact of gambling in South Africa: Qualitative perspective [Report]. National Gambling Board. https://www.ngb.org.za/wp-content/uploads/2020/06/Social-impact-of-gambling-qualitative-perspective-2013.pdf

Papadimitriou, A. (2024). Theories, strategies and elements of gamified MOOCs: a systematic literature review. Asia pacific journal of information systems, 34(1), 248-291. https://apjis.or.kr/pdf/APJIS_34_1_248.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

Paulus, D., Fathi, R., Fiedrich, F., de Walle, B. V., & Comes, T. (2024). On the interplay of data and cognitive bias in crisis information management: An exploratory study on epidemic response. Information Systems Frontiers, 26(2), 391-415. https://doi.org/10.1007/s10796-022-10241-0

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

Quigley, E. (2020). Universal Ownership and the Polycrisis: Social Norms, Feedback Loops, and the Double Hermeneutic. Feedback Loops, and the Double Hermeneutic (May 21, 2020). https://doi.org/10.2139/ssrn.3612928

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

Ruiz de Lara, C. M., Navas, J. F., & Perales, J. C. (2019). The paradoxical relationship between emotion regulation and gambling-related cognitive biases. PLoS One, 14(8), e0220668. https://psycnet.apa.org/doi/10.1371/journal.pone.0220668

Sahak, S., Rajamanickam, R., Yahya, M. S. H., & Mohamad, M. (2025). Platform accountability and user protection: A comparative analysis of regulatory approaches in Malaysia, United Kingdom and India. Journal of Posthumanism, 5(6), 1817–1826. https://doi.org/10.63332/joph.v5i6.2284

Savolainen, I., Oksanen, A., Kaakinen, M., Sirola, A., Zych, I., & Paek, H. J. (2021). The role of online group norms and social identity in youth problem gambling. Computers in Human Behavior, 122, 106828. https://doi.org/10.1016/j.chb.2021.106828

Savolainen, I., 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

Sirola, A., Kaakinen, M., Savolainen, I., Paek, H. J., Zych, I., & Oksanen, A. (2021). Online identities and social influence in social media gambling exposure: A four-country study on young people. Telematics and Informatics, 60, 101582. https://doi.org/10.1016/j.tele.2021.101582

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

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

Wheaton, J., Ford, B., Nairn, A., & Collard, S. (2024). Towards a conceptual framework for the prevention of gambling-related harms: Findings from a scoping review. PLoS One, 19(3), e0298005. https://doi.org/10.1371/journal.pone.0298005

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Published

2026-05-10

How to Cite

Willie, M. M. (2026). Cognitive Biases in Digital Gambling: Insights from the South African Context. International Journal of Counseling and Psychotherapy, 3(1), 59–67. https://doi.org/10.64420/ijcp.v3i1.513