Automatic detection of problem-gambling signs from online texts using large language models.

ABSTRACT: Problem gambling is a major public health concern and is associated with profound psychological distress and economic problems. There are numerous gambling communities on the internet where users exchange information about games, gambling tactics, as well as gambling-related problems. Individuals exhibiting higher levels of problem gambling engage more in such communities. Online gambling communities may provide insights into problem-gambling behaviour. Using data scraped from a major German gambling discussion board, we fine-tuned a large language model, specifically a Bidirectional Encoder Representations from Transformers (BERT) model, to predict signs of problem-gambling from forum posts. Training data were generated by manual annotation and by taking into account diagnostic criteria a

SUBMITTER: Smith E 

PROVIDER: S-EPMC11423982 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature