BCRA prepares transfer-risk profiles to identify payments linked to illegal gambling

Spain's DGOJ is moving towards a mandatory common algorithm to detect at-risk online gambling behaviour. The outlet revisited a publicly funded Spanish study of 351 women aged 12 to 26 that examined motivations, family attachment, emotions and co-occurring behaviours such as alcohol, drugs, spending and video games. The research came from a 2020 project funded by the National Plan on Drugs and was published in the Journal of Gambling Studies.

Spain's DGOJ is preparing a mandatory common algorithm to detect at-risk behaviour among online gambling users, according to a report. The regulator's planned mechanism is to run during the first seven days of each month and examine a window of 183 calendar days of account activity. The system is structured in four successive phases; in the later stages more than 60 variables linked to behaviour recorded on the platform are calculated, and XGBoost, a machine-learning model based on decision trees, is used to carry out the classification.