Detecting Deception: An AI-Driven Approach to Identify Dark Patterns
Keywords:
Artificial intelligence, Dark patterns, Deceptive design, User experience, Machine learning, Natural language processingAbstract
Dark patterns, which are deceptive design approaches used by websites and applications to affect user behavior, raise important ethical and user experience issues. This work presents an artificial intelligence (AI) system designed to identify many forms of dark patterns, such as coerced activities, social manipulation, diversion, obstruction, limited availability, deceitful tactics, and time pressure. Using machine learning algorithms and natural language processing techniques, our system examines website and application interfaces to detect aspects that indicate the use of dark patterns. The authors showcase the effectiveness of their approach in precisely identifying and classifying dark patterns through thorough experimentation and validation. This enables regulatory compliance and promotes a digital world that is more transparent and ethical.
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