yamanalab/ec-darkpattern
[IEEE BigData 2022] Dark patterns in e-commerce: a dataset and its baseline evaluations
Provides a TSV dataset of 1,818 dark pattern texts paired with non-dark pattern samples scraped from e-commerce sites using Puppeteer. Implements dual baseline approaches: classical bag-of-words models (logistic regression, SVM, gradient boosting) and transformer-based architectures (BERT, RoBERTa, XLNet) for binary classification, with RoBERTa_large achieving 97.5% accuracy. Includes complete experimental pipelines and web scraping utilities for dataset collection and reproducibility.
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Python
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Apache-2.0
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Mar 16, 2025
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