Beyond the Screen: Exploring Online Slot Machine Gambling Experiences Among Young Adults in Argao, Cebu, Philippines

Authors

Kweamby G. Umerez

Cebu Technological University (Philippines)

Kristhel Belandres

Cebu Technological University (Philippines)

Ranielle Joy Banquil

Cebu Technological University (Philippines)

Article Information

DOI: 10.47772/IJRISS.2026.10100126

Subject Category: Sociology

Volume/Issue: 10/1 | Page No: 1552-1566

Publication Timeline

Submitted: 2026-01-04

Accepted: 2026-01-09

Published: 2026-01-24

Abstract

Online slot machine gambling has become increasingly accessible through digital platforms, raising concerns about its growing participation among young adults. This study explored the factors influencing young adults’ engagement in online slot machine gambling, their motivations to continue despite potential risks, and the common impacts of this behavior in Argao, Cebu, Philippines. Anchored in a qualitative phenomenological design, the research aimed to capture the experiences of young adults who actively engage in online slot machine gambling. Semi-structured, face-to-face interviews were conducted with seven respondents aged 20 to 25 years who had at least two years of experience in online slot machine gambling. Purposive sampling was used to ensure that participants possessed sufficient exposure to the phenomenon. Data were analyzed using thematic analysis to identify recurring patterns and themes that reflected participants’ motivations, influences, and perceived impacts. Findings revealed that gambling initiation was largely influenced by social media exposure, peer encouragement, and family modeling, which contributed to the normalization of online gambling. Motivations for continued participation were primarily driven by emotional gratification, excitement, recreational engagement, and the hope of recovering previous financial losses. While some respondents perceived online slot machine gambling as a source of entertainment and temporary stress relief, most acknowledged experiencing negative consequences. These included financial difficulties, disrupted sleep patterns, emotional distress, neglect of responsibilities, and conflicts within the family. Despite these adverse effects, occasional winnings and emotional satisfaction reinforced continued engagement. The study concludes that online slot machine gambling among young adults is a multifaceted behavior shaped by social, psychological, and digital influences. The findings highlight the need for increased public awareness, responsible digital gambling policies, and psychosocial interventions to mitigate risks and address both the motivations and consequences associated with online gambling among young adults.

Keywords

Online gambling, online slot machines, scatter

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References

1. Abbott, M. (2020b). The changing epidemiology of gambling disorder and gambling-related harm: Public health implications. Public Health, 184, 41–45. https://doi.org/10.1016/j.puhe.2020.04.003 [Google Scholar] [Crossref]

2. Ajayi, M. S., Lawal, Y. O., & Uye, E. E. (2024). Impulsivity, peer pressure and social media usage as predictors of addictive gambling behavior among undergraduates. Journal of Indonesian Psychological Science (JIPS), 4(1), 1–17. https://doi.org/10.18860/jips.v4i1.26307 [Google Scholar] [Crossref]

3. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-t [Google Scholar] [Crossref]

4. Alhazmi, A. A., & Kaufmann, A. (2022). Phenomenological qualitative methods applied to the analysis of cross-cultural experience in novel educational social contexts. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.785134 [Google Scholar] [Crossref]

5. Allami, Y., Hodgins, D. C., Young, M., Brunelle, N., Currie, S., Dufour, M., Flores-Pajot, M. C., & Nadeau, L. (2021). A meta-analysis of problem gambling risk factors in the general adult population. Addiction, 116(11), 2968–2977. https://doi.org/10.1111/add.15449 [Google Scholar] [Crossref]

6. Anthony, C. I., Cowley, E., & Blaszczynski, A. (2023). For better and for worse: Frequent gamblers use dual counterfactuals to justify continued gambling. Journal of Gambling Studies, 40(2), 1–20. https://doi.org/10.1007/s10899-023-10221-2 [Google Scholar] [Crossref]

7. Binde, P., Romild, U., & Volberg, R. A. (2017). Forms of gambling, gambling involvement and problem gambling: Evidence from a Swedish population survey. International Gambling Studies, 17(3), 490–507. [Google Scholar] [Crossref]

8. https://doi.org/10.1080/14459795.2017.1360928 [Google Scholar] [Crossref]

9. Bonnie, R. J., Stroud, C., Breiner, H., & Families, B. O. C. Y. A. (2015). Young adults in the 21st century. Investing in the Health and Well-Being of Young Adults - NCBI Bookshelf. https://www.ncbi.nlm.nih.gov/books/NBK284782/ [Google Scholar] [Crossref]

10. Budiman, R., Romadini, N. A., Herwandi Aziz, M. A., & Pratama, A. G. (2022). The impact of online gambling among Indonesian teens and technology. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 3(2), 162–167. https://doi.org/10.34306/itsdi.v3i2.559 [Google Scholar] [Crossref]

11. Calado, F., Alexandre, J., & Griffiths, M. D. (2016). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambling Studies, 33(2), 397–424. https://doi.org/10.1007/s10899-016-9627-5 [Google Scholar] [Crossref]

12. Canale, N., Vieno, A., Griffiths, M. D., Rubaltelli, E., & Santinello, M. (2015). How do impulsivity traits influence problem gambling through gambling motives? The role of perceived gambling risk/benefits. Psychology of Addictive Behaviors, 29(3), 813–823. https://doi.org/10.1037/adb0000060 [Google Scholar] [Crossref]

13. Ciccarelli, M., Griffiths, M. D., Nigro, G., & Cosenza, M. (2016). Decision making, cognitive distortions and emotional distress: A comparison between pathological gamblers and healthy controls. Journal of [Google Scholar] [Crossref]

14. Behavior Therapy and Experimental Psychiatry, 54, 204–210. https://doi.org/10.1016/j.jbtep.2016.08.012 [Google Scholar] [Crossref]

15. Cook, D. A., & Artino, A. R. (2016). Motivation to learn: an overview of contemporary theories. Medical Education, 50(10), 997–1014. https://doi.org/10.1111/medu.13074 [Google Scholar] [Crossref]

16. Downs, C., & Woolrych, R. (2010). Gambling and debt: The hidden impacts on family and work life. Community, Work & Family, 13(3), 311–328. https://doi.org/10.1080/13668803.2010.488096 [Google Scholar] [Crossref]

17. Duria, J. J. (2025). Scatter is Life: Lived Experiences of Millennials Playing and Venturing in Online Gambling. SSRN Journal. https://doi.org/10.2139/ssrn.5340863 [Google Scholar] [Crossref]

18. Elbanna, M., Muthoifin, N., Nirwana, A., & Mahmudulhassan, N. (2024). Analysing the role of Conti Entertain as a gateway to digital gambling among teenagers Sharia perspective: Challenges and solutions. Demak Universal Journal of Islam and Sharia, 3(01), 1–12. https://doi.org/10.61455/deujis.v3i01.215 [Google Scholar] [Crossref]

19. Evangelista, L. D., Lagumbay, R. C. S., & Pagcaliwagan, K. D. (2021). Gambling behavior of young adults: A basis for an intervention program. Interdisciplinary Journal of Applied and Basic Subjects, 1(7), 36–44. [Google Scholar] [Crossref]

20. Farhat, L. C., Wampler, J., Steinberg, M. A., Krishnan-Sarin, S., Hoff, R. A., & Potenza, M. N. (2021). Excitement-seeking gambling in adolescents: Health correlates and gambling-related attitudes and behaviors. Journal of Gambling Studies, 37, 43-57. [Google Scholar] [Crossref]

21. Farias, A. R., & Antunes, A. C. (2024). Dataset of a national survey on online gambling activities among young people in Portugal. F1000Research. https://doi.org/10.12688/f1000research.152851.1 [Google Scholar] [Crossref]

22. Ferrari, M. A., Limbrick-Oldfield, E. H., & Clark, L. (2022). Behavioral analysis of habit formation in modern slot machine gambling. International Gambling Studies, 22(2), 317–336. https://doi.org/10.1080/14459795.2022.2088822 [Google Scholar] [Crossref]

23. 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 [Google Scholar] [Crossref]

24. Ghosh, S., & Halder, S. (2020). Emotional regulation and cognitive flexibility in young adults. Journal of Psychosocial Research, 15(2), 609-617. [Google Scholar] [Crossref]

25. Goodwin, B., Thorne, H., Langham, E., & Moskovsky, N. (2017). Traditional and innovated gambling products: An exploration of player preferences. International Gambling Studies, 17(2), 219-235. [Google Scholar] [Crossref]

26. Greer, N., Rockloff, M., Hing, N. et al. (2023). Skin gambling contributes to gambling problems and harm after controlling for other forms of traditional gambling. Journal of Gambling Studies, 39, 225–247. https://doi.org/10.1007/s10899-022-10111-z [Google Scholar] [Crossref]

27. Guo, R., Hou, K., Li, T., & Li, C. (2025). From Selection to Influence: The moderating role of classroom norms in the evolution of aggression and victimization in adolescent friendship networks. Journal of Youth and Adolescence.https://doi.org/10.1007/s10964-025-02198-5 [Google Scholar] [Crossref]

28. Hisyam, C. J., Permatasari, I., Lestari, T., Medistya, Y., Pratama, P., Firdaus, A. N., & Prakoso, A. D. A. (2024). Analisis dinamika sosial dan ekonomi pelaku kasus perjudian online dalam sudut pandang money laundry. Jurnal Riset Sosial Humaniora Dan Pendidikan, 3(1), 214–224. https://doi.org/10.62383/risoma.v3i1.555 [Google Scholar] [Crossref]

29. Holdsworth et al. (2019). Asian Journal of Gambling Issues and Public Health, 3(1), 11. http://www.ajgiph.com/content/3/1/11 [Google Scholar] [Crossref]

30. Howe, P. D. L., Vargas-Sáenz, A., Hulbert, C. A., & Boldero, J. M. (2019). Predictors of gambling and problem gambling in Victoria, Australia. PLoS ONE, 14(1), e0209277. https://doi.org/10.1371/journal.pone.0209277 [Google Scholar] [Crossref]

31. Hubert, P., & Griffiths, M. D. (2018). A comparison of online versus offline gambling harm in Portuguese pathological gamblers: An empirical study. International Journal of Mental Health and Addiction, 16(5), 1219–1237. https://doi.org/10.1007/s11469-017-9846-8 [Google Scholar] [Crossref]

32. James, R. J. E., & Bradley, A. (2021). The use of social media in research on gambling: A systematic review. Current Addiction Reports, 8(2), 235–245. https://doi.org/10.1007/s40429-021-00364-w [Google Scholar] [Crossref]

33. Iskomunidad. (2025, October 18). Online gambling - iskomunidad. Iskomunidad. https://iskomunidad.upd.edu.ph/index.php/Online_Gambling [Google Scholar] [Crossref]

34. Jamshed, S. (2014). Qualitative research method-interviewing and observation. Journal of Basic and Clinical Pharmacy, 5(4), 87. https://doi.org/10.4103/0976-0105.141942 [Google Scholar] [Crossref]

35. Jewil Anne M. Tabiolo. (2024). The Filipino youth, online gambling and the impact of celebrity influence. SunStar Publishing Inc. https://www.sunstar.com.ph/cebu/the-filipino-youth-online-gambling-and-theimpact-of-celebrity-influence [Google Scholar] [Crossref]

36. Kalischuk, R. G., Nowatzki, N., Cardwell, K., Klein, K., & Solowoniuk, J. (2006). Problem Gambling and its Impact on Families: A Literature Review. International Gambling Studies, 6(1), 31–60. [Google Scholar] [Crossref]

37. https://doi.org/10.1080/14459790600644176 [Google Scholar] [Crossref]

38. Kasirye, F. (2022). The importance of needs in uses and gratification theory. Advanced Sage Publication. https://doi.org/10.31124/advance.14681667.v2 [Google Scholar] [Crossref]

39. Kim, H. S., Wohl, M. J. A., Gupta, R., & Derevensky, J. L. (2017). Why do young adults gamble online? A qualitative study of motivations to transition from social casino games to online gambling. Asian Journal of Gambling Issues and Public Health, 7(1). https://doi.org/10.1186/s40405-017-0025-4 [Google Scholar] [Crossref]

40. Krotter, A., Secades-Villa, R., Iza-Fernández, C., & González-Roz, A. (2024). Risk factors of AtRisk/Problem Gambling among young adult Spanish students. Journal of Prevention. https://doi.org/10.1007/s10935-024-00814-x [Google Scholar] [Crossref]

41. Langham, E., Thorne, H., Browne, M., Donaldson, P., Rose, J., & Rockloff, M. (2015). Understanding gambling related harm: A proposed definition, conceptual framework, and taxonomy of harms. BMC public health, 16, 1-23. [Google Scholar] [Crossref]

42. Lannes, L. M. P. (2021). Unsupervised learning applied to the segmentation of users of online gambling platforms in Portugal: The effects of the Covid-19 pandemic on user behavior and segmentation (Master's thesis, Universidade NOVA de Lisboa (Portugal)). [Google Scholar] [Crossref]

43. Lannes, Lelonek-Kuleta, B., & Bartczuk, R. P. (2021). Online gambling activity, pay-to-win payments, motivation to gamble and coping strategies as predictors of gambling disorder among e-sports bettors. Journal of Gambling Studies, 37(4), 1079–1098. https://doi.org/10.1007/s10899-021-10015-4 [Google Scholar] [Crossref]

44. Lloyd, J., Nicklin, L. L., Rhodes, S. K., & Hurst, G. (2021). A qualitative study of gambling, deprivation and monetary motivations. International Gambling Studies, 21(2), 307-325. [Google Scholar] [Crossref]

45. Lombardi, G., Molinaro, S., Cotichini, R., Cerrai, S., Scalese, M., & Benedetti, E. (2024). The cards they’re dealt: types of gambling activity, online gambling, and risk of problem gambling in European adolescents. Social Science & Medicine, 363, 117482. https://doi.org/10.1016/j.socscimed.2024.117482 [Google Scholar] [Crossref]

46. McCormack, A., & Griffiths, M. D. (2012). Motivating and inhibiting factors in online gambling behaviour: A grounded theory study. International journal of mental health and addiction, 10, 39-53. [Google Scholar] [Crossref]

47. Matheba, C. M. (2024b). The ravaging effects of online gambling on the social functioning of male breadwinners in African families. Innovation Journal of Social Sciences and Economic Review, 26–36. [Google Scholar] [Crossref]

48. https://doi.org/10.36923/ijsser.v6i2.259 [Google Scholar] [Crossref]

49. Nabavi, R. T., & Bijandi, M. S. (2012). Bandura’s social learning theory & social cognitive learning theory. ResearchGate. [Google Scholar] [Crossref]

50. https://www.researchgate.net/publication/267750204_Bandura's_Social_Learning_Theory_Social_Cogni tive_Learning_Theory [Google Scholar] [Crossref]

51. Oksanen, A., Savolainen, I., Sirola, A., & Kaakinen, M. (2018). Problem gambling and psychological distress: A cross-national perspective on the mediating effect of consumer debt and debt problems among emerging adults. Harm Reduction Journal, 15, 1–11. [Google Scholar] [Crossref]

52. Oyetunji-Alemede, C. O., Ogunbiyi, O. T., & Omole, O. E. (2019). Gender, peer pressure and addictive gambling behaviour among undergraduates of Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria. Sapientia Global Journal of Arts, Humanities and Development Studies, 2(1), 52–59. [Google Scholar] [Crossref]

53. Palmer, L., Ferrari, M. A., & Clark, L. (2024). The near-miss effect in online slot machine gambling: A series of conceptual replications. Psychology of Addictive Behaviors, 38(6). https://doi.org/10.1037/adb0000999 [Google Scholar] [Crossref]

54. Parrado-González, A., Fernández-Calderón, F., Newall, P. W., & León-Jariego, J. C. (2023). Peer and parental social norms as determinants of gambling initiation: A prospective study. Journal of Adolescent Health, 73(2), 296–301. https://doi.org/10.1016/j.jadohealth.2023.02.033 [Google Scholar] [Crossref]

55. Pchajek, J., Edgerton, J. D., Sanscartier, M., & Keough, M. (2023). Exploring the impact of shame and guilt on coping with gambling problems among emerging adult gamblers. Canadian Journal of Behavioural [Google Scholar] [Crossref]

56. Science / Revue canadienne des sciences du comportement, 55(3), 177–188. https://doi.org/10.1037/cbs0000343 [Google Scholar] [Crossref]

57. Pitt, H., Thomas, S. L., Bestman, A., Daube, M., & Derevensky, J. (2017c). Factors that influence children’s gambling attitudes and consumption intentions: Lessons for gambling harm prevention research, policies and advocacy strategies. Harm Reduction Journal, 14(1). https://doi.org/10.1186/s12954-0170136-3 [Google Scholar] [Crossref]

58. Prasetyawati, Y. R., & Lamoste, A. D. (2021). The relationship of consumer attitude and government regulations towards online gambling behavior in the Philippines. Communicare: Journal of Communication Studies, 8(2), 146. https://doi.org/10.37535/101008220215 [Google Scholar] [Crossref]

59. Price, A., Tabri, N., Stark, S. et al. (2023). Mental health over time and financial concerns predict change in online gambling during COVID-19. International Journal of Mental Health and Addiction, 21, 2751– 2765. https://doi.org/10.1007/s11469-021-00750-5 [Google Scholar] [Crossref]

60. Pontis, S., & Blandford, A. (2015). Understanding “influence:” an exploratory study of academics’ processes of knowledge construction through iterative and interactive information seeking. Journal of the Association for Information Science and Technology, 66(8), 1576–1593. https://doi.org/10.1002/asi.23277 [Google Scholar] [Crossref]

61. Sahrul, S., Fahrurrozi, F., Sarudi, S., & Brilian, G. (2024). The criminal justice system’s response to gambling crime. Jurnal Ilmu Hukum: Media Keadilan, 15(1), 57. https://doi.org/10.31764/jmk.v15i1.24917 [Google Scholar] [Crossref]

62. Saunders, B., Kitzinger, J., & Kitzinger, C. (2014). Anonymising interview data: Challenges and compromise in practice. Qualitative Research, 15(5), 616–632. https://doi.org/10.1177/1468794114550439 [Google Scholar] [Crossref]

63. Savolainen, I., Sirola, A., Vuorinen, I., Mantere, E., & Oksanen, A. (2022). Online communities and gambling behaviors—A systematic review. Current Addiction Reports, 9(4), 400–409. [Google Scholar] [Crossref]

64. Sirola, A., Kaakinen, M., Savolainen, I., Paek, H., 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 [Google Scholar] [Crossref]

65. Smith, J., Hewitt, B., & Skrbiš, Z. (2015). Digital socialization: young people's changing value orientations towards internet use between adolescence and early adulthood. Information, Communication & Society, 18(9), 1022-1038. [Google Scholar] [Crossref]

66. Statista. (2025). Gambling - Philippines | Statista market forecast. https://www.statista.com/outlook/amo/gambling/philippines [Google Scholar] [Crossref]

67. Stead, M., Dobbie, F., Angus, K., Purves, R. I., Reith, G., & Macdonald, L. (2016). The online bingo boom in the UK: A qualitative examination of its appeal. PLOS ONE, 11(5), e0154763. [Google Scholar] [Crossref]

68. Tabri, N., Xuereb, S., Cringle, N., & Clark, L. (2021). Associations between financial gambling motives, gambling frequency, and level of problem gambling: A meta‐analytic review. Addiction. doi:10.1111/add.15642 [Google Scholar] [Crossref]

69. Westberg, K., Beverland, M. B., & Thomas, S. L. (2017). The unintended normalization of gambling. Journal of Macromarketing, 37(4), 426–443. https://doi.org/10.1177/0276146717720979 [Google Scholar] [Crossref]

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