Smart Data Insights into Online Gambling: A Geodemographic Analysis of Behavioural Clusters in Great Britain

Online gambling is a rapidly growing pastime, offering convenience and entertainment. However, concerns persist regarding its potential harms and how individuals engage with online platforms. This thesis contends that survey-based investigations often yield incomplete representations of gambling behaviours, hindered by self-report biases and small sample sizes. To address this, a data-intensive analysis of ~1.2 million online accounts from a major British operator characterises gambling behaviours in Great Britain throughout 2022. Using clustering techniques, the study identifies 12 distinct behavioural typologies. Findings underscore the value of Smart Data in shaping policy, informing interventions and advancing research on gambling’s societal impact.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.15231653
Primary Topic
Mechanical Behavior of Composites
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Data Insights into Online Gambling: A Geodemographic Analysis of Behavioural Clusters in Great Britain

Zenodo (CERN European Organization for Nuclear Research)
Mechanical Behavior of Composites
article

Smart Data Insights into Online Gambling: A Geodemographic Analysis of Behavioural Clusters in Great Britain

article en

Abstract

Online gambling is a rapidly growing pastime, offering convenience and entertainment. However, concerns persist regarding its potential harms and how individuals engage with online platforms. This thesis contends that survey-based investigations often yield incomplete representations of gambling behaviours, hindered by self-report biases and small sample sizes. To address this, a data-intensive analysis of ~1.2 million online accounts from a major British operator characterises gambling behaviours in Great Britain throughout 2022. Using clustering techniques, the study identifies 12 distinct behavioural typologies. Findings underscore the value of Smart Data in shaping policy, informing interventions and advancing research on gambling’s societal impact.

Zenodo (CERN European Organization for Nuclear Research)
University College London (GB)
Openalex Percentile: Top 52%
Mechanical Behavior of Composites
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