GolpeBR: Construction and Validation of an Annotated Dataset on Banking Scams and Fraud
Open Access
- 29 September 2025
- conference paper
- Published by Sociedade Brasileira de Computação
- p. 429-440
Abstract
This article details the construction and validation of the GolpeBR dataset, which was created from news articles and Reddit posts. Automated Python methods were used to extract and process the data, which was then annotated using the Deepseek-R1 LLM and the 5W1H methodology. A cybersecurity expert classified and validated the records, distinguishing between banking cybercrimes and unrelated crimes. For the dataset's validation, supervised learning algorithms were applied. It was found that models trained with data structured by the 5W1H methodology demonstrated better accuracy, reaching 0.83 for the Logistic Regression and Random Forest algorithms.Keywords
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