Applications of data science for responsible gambling: a scoping review-Reference-Cited by-同舟云学术

Applications of data science for responsible gambling: a scoping review

Published:2022-11-08 Issue: Volume: Page:1-24
ISSN:1445-9795
Container-title:International Gambling Studies
language:en
Short-container-title:International Gambling Studies

Author:

Ghaharian Kasra¹²^ORCID,Abarbanel Brett¹²³^ORCID,Phung Dylan⁴,Puranik Piyush⁵,Kraus Shane⁶^ORCID,Feldman Alan¹,Bernhard Bo¹²

Affiliation:

1. International Gaming Institute, University of Nevada, Las Vegas, NV, USA

2. William F. Harrah College of Hospitality, University of Nevada, Las Vegas, NV, USA

3. Gambling Treatment and Research Clinic, University of Sydney, Sydney, New South Wales, Australia

4. Marshall School of Business, University of Southern California, Los Angeles, CA, USA

5. Department of Computer Science, University of Nevada, Las Vegas, NV, USA

6. Department of Psychology, University of Nevada, Las Vegas, NV, USA

Publisher

Informa UK Limited

Subject

Applied Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/14459795.2022.2135753

Reference74 articles.

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2. Akhter, S. (2018). Using machine learning to predict potential online gambling addicts [Master’s thesis]. Aalto University. Aaltodoc. https://aaltodoc.aalto.fi/handle/123456789/34354

3. Aro, D., Jakob, L. & Gainsbury, D. S. (2015). Ontario Problem Gambling Research Centre (OPGRC). Final Report, 50. https://www.greo.ca/Modules/EvidenceCentre/files/Aro%20et%20al2015Use_of_data_analytics_for_responsible_gambling_regulatory_directives.pdf

4. Predicting Limit-Setting Behavior of Gamblers Using Machine Learning Algorithms: A Real-World Study of Norwegian Gamblers Using Account Data

5. The use of personalized messages on wagering behavior of Swedish online gamblers: An empirical study

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