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Using account data to identify online problem gambling

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Author(s): Perrot, Bastien ; Hardouin, Jean-Benoit ; Thiabaud, Elsa ; Saillard, Anais ; Grall-Bronnec, Marie ; Challet-Bouju, Gaëlle

Journal: Journal of Behavioral Addictions

Year Published: 2022

Date Added: December 23, 2022

The researchers used online gambling account data to develop models that could identify problem gambling. They used survey data and account data provided by two French authorities, the ARJEL and the FDJ. The researchers developed two models to predict problem gambling in skill-based and chance-based games, respectively. The first model produced good results and was best at identifying non-problem and problem gambling, but performed poorly at identifying low-risk and moderate-risk gambling. The second model produced moderate results, but was also better at identifying non-problem and problem gambling over low-risk and moderate-risk gambling.


Citation: Perrot, B., Hardouin, J. B., Thiabaud, E., Saillard, A., Grall-Bronnec, M., & Challet-Bouju, G. (2022). Development and validation of a prediction model for online gambling problems based on players’ account data. Journal of Behavioral Addictions, 11(3), 874-889. https://doi.org/10.1556/2006.2022.00063

Article DOI: https://doi.org/10.1556/2006.2022.00063

Keywords: gambling ; machine learning ; online gambling ; problem gambling

Topics: Online Gambling

Conceptual Framework Factors:   Exposure - Gambling Setting ; Types - Structural Characteristics ; Environment - Responsible Gambling ; Exposure - Accessibility ; Gambling Environment

Response Rate: 1.1% (people who gamble online on poker, horse race betting, and sports betting) and 1.9% (people who gamble on lottery online)

Study Design: Descriptive: Survey

Geographic Coverage: France

Study Population: People who gamble online in France online with active accounts in poker, horse race betting, and sports betting (n = 7359) and scratch games and lotteries (n = 5079)

Sampling Procedure: Behavioural tracking data were obtained from the Authority for Online Gambling (Autorité de Régulation des Jeux En Ligne, ARJEL) and the national lottery operator (Française des Jeux, FDJ). Survey data were obtained through voluntary response sampling: The ARJEL sent out an email invitation in November 2015 and February 2016 to a random sample of 840,797 customers who had an active account. The FDJ sent out an email invitation in July 2019 to a random sample of 303,000 customers who had an active account.

Study Funding:

This study was supported by funding from the Primary Prevention Call for Proposals, issued by the French Institute for Public Health Research, the French National Cancer Institute and their partners.

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