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Detecting Gambling Addiction: How Text Mining of Customer-Operator Online Chats Reveals Behavioral Risks.

Chiara Barone1,2, Michele Paleologo3,4, Giovanni Moretti5

  • 1Department of Psychology, Universita Cattolica del Sacro Cuore, Largo Agostino Gemelli 1, 20123, Milan, Italy. chiara.barone2@unicatt.it.

Journal of Gambling Studies
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Summary
This summary is machine-generated.

This study developed a system using computational linguistics and psychology to detect early signs of problematic gambling in online chats. This helps identify at-risk individuals for timely intervention and prevention.

Keywords:
Customer-operator chatsGambling disorderLinguistic analysisLinguistic markersPGSIPreventionText mining

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Area of Science:

  • Psychology
  • Computational Linguistics
  • Public Health

Background:

  • Gambling disorder is a growing public health concern, intensified by the rise of online gambling.
  • Early detection and prevention are crucial for individuals exhibiting risky gambling behaviors.

Purpose of the Study:

  • To develop a predictive system for identifying linguistic markers of problematic gambling in customer-operator chats.
  • To assist support staff in recognizing at-risk individuals for prompt intervention.

Main Methods:

  • Qualitative analysis of Italian online chat conversations to identify linguistic markers of risk.
  • Development of a supervised binary classification model, refined with dataset expansion and psychological coding.
  • Integration of weighted linguistic markers (emotional intensity, frequency) into a four-level risk classification model.

Main Results:

  • Combining linguistic analysis with psychological expertise significantly improves early detection of problematic gambling behaviors.
  • The study successfully identified key linguistic and discursive markers associated with gambling disorder.
  • Text mining proves effective for prevention and personalized interventions in gambling disorder.

Conclusions:

  • The developed system demonstrates the potential of text mining and multidisciplinary collaboration for early detection of gambling disorder.
  • This approach supports timely, person-centered interventions, contributing to public health efforts in managing gambling disorder.
  • Further research can refine predictive models for enhanced prevention strategies in online gambling environments.