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International Gambling Studies Volume 16, 2016 - Issue 2
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Articles

Predicting online gambling self-exclusion: an analysis of the performance of supervised machine learning models

Christian PercyBetBuddy, London, UKCorrespondence[email protected]
,
Manoel FrançaDepartment of Computer Science, City University London, London, UK
,
Simo DragičevićDepartment of Computer Science, City University London, London, UK
&
Artur d’Avila GarcezDepartment of Computer Science, City University London, London, UK
Pages 193-210 | Received 02 Jul 2015, Accepted 31 Jan 2016, Published online: 10 Apr 2016

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Sylvia Kairouz, Jean-Michel Costes, W. Spencer Murch, Pascal Doray-Demers, Clément Carrier & Vincent Eroukmanoff. (2023) Enabling New Strategies to Prevent Problematic Online Gambling: A Machine Learning Approach for Identifying At-risk Online Gamblers in France. International Gambling Studies 23:3, pages 471-490.
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Kasra Ghaharian, Brett Abarbanel, Dylan Phung, Piyush Puranik, Shane Kraus, Alan Feldman & Bo Bernhard. (2023) Applications of data science for responsible gambling: a scoping review. International Gambling Studies 23:2, pages 289-312.
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Debi A. LaPlante, Eric R. Louderback & Brett Abarbanel. (2021) Gambling researchers’ use and views of open science principles and practices: a brief report. International Gambling Studies 21:3, pages 381-394.
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Stephanie Finkenwirth, Kent MacDonald, Xiaolei Deng, Tilman Lesch & Luke Clark. (2021) Using machine learning to predict self-exclusion status in online gamblers on the PlayNow.com platform in British Columbia. International Gambling Studies 21:2, pages 220-237.
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David Forsström, Jonas Rafi & Per Carlbring. (2020) Dropouts’ usage of a responsible gambling tool and subsequent gambling patterns. Cogent Psychology 7:1.
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Debi A. LaPlante. (2019) Replication is fundamental, but is it common? A call for scientific self-reflection and contemporary research practices in gambling-related research. International Gambling Studies 19:3, pages 362-368.
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Timothy C. Edson, Eric R. Louderback, Matthew A. Tom, Seth P. McCullock & Debi A. LaPlante. Exploring a multidimensional concept of loss chasing using online sports betting records. International Gambling Studies 0:0, pages 1-19.
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Niklas Hopfgartner, Michael Auer, Mark D. Griffiths & Denis Helic. (2022) Predicting self-exclusion among online gamblers: An empirical real-world study. Journal of Gambling Studies 39:1, pages 447-465.
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Michael Auer & Mark D. Griffiths. (2022) Using artificial intelligence algorithms to predict self-reported problem gambling with account-based player data in an online casino setting. Journal of Gambling Studies 39:3, pages 1273-1294.
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Michael Auer & Mark D. Griffiths. (2022) An Empirical Attempt to Operationalize Chasing Losses in Gambling Utilizing Account-Based Player Tracking Data. Journal of Gambling Studies 39:4, pages 1547-1561.
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David Forsström, Alexander Rozental, Emma Wiklund, Per Carlbring & Philip Lindner. (2021) Gamblers’ Perception of the Playscan Risk Assessment: A Mixed-Methods Study. Journal of Gambling Studies 38:2, pages 591-606.
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Michael Auer & Mark D. Griffiths. (2022) The relationship between structural characteristics and gambling behaviour: An online gambling player tracking study. Journal of Gambling Studies 39:1, pages 265-279.
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Michael Auer & Mark D. Griffiths. (2019) Predicting Limit-Setting Behavior of Gamblers Using Machine Learning Algorithms: A Real-World Study of Norwegian Gamblers Using Account Data. International Journal of Mental Health and Addiction 20:2, pages 771-788.
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Chris Percy, Simo Dragicevic, Sanjoy Sarkar & Artur d’Avila Garcez. (2022) Accountability in AI: From principles to industry-specific accreditation. AI Communications 34:3, pages 181-196.
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William H. B. McAuliffe, Eric R. Louderback, Timothy C. Edson, Debi A. LaPlante & Sarah E. Nelson. (2022) Using “Markers of Harm” to Track Risky Gambling in Two Cohorts of Online Sports Bettors. Journal of Gambling Studies 38:4, pages 1337-1369.
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Maris Catania & Mark D. Griffiths. (2021) Applying the DSM-5 Criteria for Gambling Disorder to Online Gambling Account-Based Tracking Data: An Empirical Study Utilizing Cluster Analysis. Journal of Gambling Studies 38:4, pages 1289-1306.
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Ivan Ukhov, Johan Bjurgert, Michael Auer & Mark D. Griffiths. (2020) Online Problem Gambling: A Comparison of Casino Players and Sports Bettors via Predictive Modeling Using Behavioral Tracking Data. Journal of Gambling Studies 37:3, pages 877-897.
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Fernando Peres, Enrico Fallacara, Luca Manzoni, Mauro Castelli, Aleš Popovič, Miguel Rodrigues & Pedro Estevens. (2021) Time Series Clustering of Online Gambling Activities for Addicted Users’ Detection. Applied Sciences 11:5, pages 2397.
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Maris Catania & Mark D. Griffiths. (2021) Understanding Online Voluntary Self-Exclusion in Gambling: An Empirical Study Using Account-Based Behavioral Tracking Data. International Journal of Environmental Research and Public Health 18:4, pages 2000.
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Alex Price, Margo Hilbrecht & Rosa Billi. (2021) Charting a path towards a public health approach for gambling harm prevention. Journal of Public Health 29:1, pages 37-53.
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Sally M. Gainsbury, Nicola Black, Alex Blaszczynski, Sascha Callaghan, Garner Clancey, Vladan Starcevic & Agnieszka Tymula. (2020) Reducing Internet Gambling Harms Using Behavioral Science: A Stakeholder Framework. Frontiers in Psychiatry 11.
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Oliver J. Scholten, David Zendle & James A. Walker. (2020) Inside the decentralised casino: A longitudinal study of actual cryptocurrency gambling transactions. PLOS ONE 15:10, pages e0240693.
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Wonju Seo, Namho Kim, Sang-Kyu Lee & Sung-Min Park. (2020) Machine learning-based analysis of adolescent gambling factors. Journal of Behavioral Addictions 9:3, pages 734-743.
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Gaëlle Challet-Bouju, Jean-Benoit Hardouin, Elsa Thiabaud, Anaïs Saillard, Yann Donnio, Marie Grall-Bronnec & Bastien Perrot. (2020) Modeling Early Gambling Behavior Using Indicators from Online Lottery Gambling Tracking Data: Longitudinal Analysis. Journal of Medical Internet Research 22:8, pages e17675.
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Deniz Cemiloglu, Emily Arden-Close, Sarah Hodge, Theodoros Kostoulas, Raian Ali & Maris Catania. (2020) Towards Ethical Requirements for Addictive Technology: The Case of Online Gambling. Towards Ethical Requirements for Addictive Technology: The Case of Online Gambling.
Xiaolei Deng, Tilman Lesch & Luke Clark. (2019) Applying Data Science to Behavioral Analysis of Online Gambling. Current Addiction Reports 6:3, pages 159-164.
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Ekaterina Ivanova, Kristoffer Magnusson & Per Carlbring. (2019) Deposit Limit Prompt in Online Gambling for Reducing Gambling Intensity: A Randomized Controlled Trial. Frontiers in Psychology 10.
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Chang-hyun Park, Ji-Won Chun, Hyun Cho & Dai-Jin Kim. (2018) Discriminating Pathological and Non-pathological Internet Gamers Using Sparse Neuroanatomical Features. Frontiers in Psychiatry 9.
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David Forsström, Markus Jansson-Fröjmark, Hugo Hesser & Per Carlbring. (2017) Experiences of Playscan: Interviews with users of a responsible gambling tool. Internet Interventions 8, pages 53-62.
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