Publisher
Springer Science and Business Media LLC
Reference37 articles.
1. 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.
2. Auer, M., & Griffiths, M. D. (2023). Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting. Journal of Gambling Studies, 39, 1273–1294.
3. Blaszczynski, A., & Hunt, C. (2011). Online sports betting has created new generation of problem gamblers. https://medicalxpress.com/news/2011-03-online-sports-problem-gamblers.html.
4. Braverman, J., & Shaffer, H. J. (2012). How do gamblers start gambling: Identifying behavioural markers for high-risk internet gambling. European Journal of Public Health, 22(2), 273–278.
5. Braverman, J., Tom, M. A., & Shaffer, H. J. (2014). Accuracy of self-reported versus actual online gambling wins and losses. Psychological Assessment, 26(3), 865–877. https://doi.org/10.1037/a0036428.