Dark Pattern Detection Dataset

This dataset is designed to aid in the detection of dark patterns in e-commerce websites, specifically targeting fake reviews and fake star ratings. It consists of two files that help classify and analyze deceptive online practices:

Files Included

1. patterns.csv – Contains various dark pattern instances with textual or numerical representations.
2. pattern_classification.csv – Maps the identified patterns to specific categories, enabling supervised learning approaches for classification.

Dataset Usage

• Identifying and classifying dark patterns in e-commerce.
• Training machine learning models to detect fake reviews and ratings.
• Enhancing consumer protection by flagging deceptive practices.

Potential Applications

• AI-driven browser extensions to warn users about suspicious reviews.
• E-commerce trust and safety monitoring systems.
• Research on manipulative online behavior.

This dataset is valuable for researchers and developers working on fraud detection, AI ethics, and consumer protection in digital marketplaces. 🚀