Behavioural Tracking and Profiling Studies Involving Objective Data Derived from Online Operators: A Review of the Evidence.

Behavioural indicators Online gambling Problem gambling Responsible gambling Risk

Journal

Journal of gambling studies
ISSN: 1573-3602
Titre abrégé: J Gambl Stud
Pays: United States
ID NLM: 9425991

Informations de publication

Date de publication:
27 Aug 2023
Historique:
accepted: 01 08 2023
medline: 27 8 2023
pubmed: 27 8 2023
entrez: 27 8 2023
Statut: aheadofprint

Résumé

Studies involving the analysis of objective data from online operators attempt to address common concerns about biases in self-report research. This paper surveys the progress in this area of research over the last 15 years. The findings highlight many areas of achievement, including: the development of a set of behavioural markers that reliably differentiate variations in gambler risk. Online gamblers can be grouped into clusters based on the intensity and frequency of gambling; behavioural variability; or, signs of over-commitment (e.g., deposit frequency or expenditure patterns). Behavioural indicators have also been successfully used to predict proxies of harm such as self-exclusion or account closures. However, relatively few studies have combined objective data with self-report data to achieve independent validation of the risk-status of gamblers. Evidence also supports the potential value of short-term responsible gambling interventions involving the use of voluntary and mandatory limits, messages and behavioural feedback. Less work has, on the other hand, addressed the comparative risk of different online gambling products. The findings suggest the need for further validation of findings against independent measures of gambling risk; consistent definitions of indicators; a greater focus on the differentiation of product risk; and, on the long-term impact of RG interventions.

Identifiants

pubmed: 37634166
doi: 10.1007/s10899-023-10247-6
pii: 10.1007/s10899-023-10247-6
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s).

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Auteurs

Paul Delfabbro (P)

School of Psychology, University of Adelaide, Adelaide, Australia. Paul.delfabbro@adelaide.edu.au.

Jonathan Parke (J)

Sophro Ltd, Newark, UK.

Maris Catania (M)

Kindred Group, Valletta, Malta.

Classifications MeSH