AIMC Topic: Gambling

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Stigmatisation of gambling disorder in social media: a tailored deep learning approach for YouTube comments.

Harm reduction journal Apr 18, 2025
BACKGROUND: The stigmatisation of gamblers, particularly those with a gambling disorder, and self-stigmatisation are considered substantial barriers to seeking help and treatment. To develop effective strategies to reduce the stigma associated with g...
Gambling Deep Learning Social Media Germany Social Stigma Stereotyping Behavior, Addictive Female Adult Male Humans
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Insights into the temporal dynamics of identifying problem gambling on an online casino: A machine learning study on routinely collected individual account data.

Journal of behavioral addictions Feb 27, 2025
BACKGROUND AND AIMS: The digitalization of gambling provides unprecedented opportunities for early identification of problem gambling, a well-recognized public health issue. This study aimed to advance current practices by employing advanced machine ...
Humans Machine Learning Male Time Factors Internet Female Sweden Adult Gambling
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The lived experience of gambling-related harm in natural language.

Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors Sep 9, 2024
OBJECTIVE: Gambling-related harms can have a significant negative impact on disordered gamblers, lower risk gamblers, and affected others. Yet, most disordered and lower risk gamblers will never seek formal treatment, often due to the stigma and sham...
Natural Language Processing Self-Help Groups Gambling Humans Emotions
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Illegal Online Gambling Site Detection using Multiple Resource-Oriented Machine Learning.

Journal of gambling studies Jul 11, 2024
The COVID-19 pandemic has led to faster digitalization and illegal online gambling has become popular. As illegal online gambling brings not only financial threats but also breaches in overall cyber security, this study defines the concept of absolut...
Gambling SARS-CoV-2 Internet Humans Machine Learning COVID-19
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Unmasking Risky Habits: Identifying and Predicting Problem Gamblers Through Machine Learning Techniques.

Journal of gambling studies Apr 3, 2024
The use of machine learning techniques to identify problem gamblers has been widely established. However, existing methods often rely on self-reported labeling, such as temporary self-exclusion or account closure. In this study, we propose a novel ap...
Behavior, Addictive Risk-Taking Gambling Female Adult Male Humans Machine Learning
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Machine learning-based analysis of adolescent gambling factors.

Journal of behavioral addictions Oct 3, 2020
BACKGROUND AND AIMS: Problem gambling among adolescents has recently attracted attention because of easy access to gambling in online environments and its serious effects on adolescent lives. We proposed a machine learning-based analysis method for p...
Severity of Illness Index Adolescent Health Surveys Machine Learning Support Vector Machine Female Adolescent Behavior Humans Male Gambling
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Decoding and mapping task states of the human brain via deep learning.

Human brain mapping Dec 9, 2019
Support vector machine (SVM)-based multivariate pattern analysis (MVPA) has delivered promising performance in decoding specific task states based on functional magnetic resonance imaging (fMRI) of the human brain. Conventionally, the SVM-MVPA requir...
Support Vector Machine Magnetic Resonance Imaging Brain Mapping Humans Memory, Short-Term Male Databases, Factual Deep Learning Psychomotor Performance Brain Transfer, Psychology Image Processing, Computer-Assisted Connectome Reproducibility of Results Gambling Adult
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Applications of machine learning in addiction studies: A systematic review.

Psychiatry research Mar 4, 2019
This study aims to provide a systematic review of the applications of machine learning methods in addiction research. In this study, multiple searches on MEDLINE, Embase and the Cochrane Database of Systematic Reviews were performed. 23 full-text art...
Cross-Sectional Studies Substance-Related Disorders Humans Smoking Cross-Over Studies Machine Learning Behavior, Addictive Algorithms Gambling
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Personality biomarkers of pathological gambling: A machine learning study.

Journal of neuroscience methods Nov 1, 2017
BACKGROUND: The application of artificial intelligence to extract predictors of Gambling disorder (GD) is a new field of study. A plethora of studies have suggested that maladaptive personality dispositions may serve as risk factors for GD.
Middle Aged Adult Personality Sensitivity and Specificity Support Vector Machine Personality Assessment Humans Male Gambling Female
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Online gambling forums as a potential target for harm reduction: an exploratory natural language processing analysis of a reddit.com forum.

Harm reduction journal May 13, 2025
OBJECTIVES: Globally, there has been a rapid increase in the availability of online gambling. As online gambling has increased in popularity, there has been a corresponding increase in online communities that discuss gambling. The movement of gamblin...
Natural Language Processing Internet Harm Reduction Humans Social Media Gambling
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