AI Based Automated Detection of Dark Patterns on Websites

AI Based Automated Detection of Dark Patterns on Websites

Prakathi V1, Srinithi M2 , Vikashini C3, Yoga Dharshni R4 ,Dr.R.Ahila5

1,2,3,4Student, 5Associate Professor of Computer Science and Engineering, School of Engineering

Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu

ABSTRACT

          Websites and apps use dark patterns, which are misleading design strategies, to influence user behavior.They bring up important moral and pragmatic issues. Time pressure, dishonest tactics, distraction, obstruction, social manipulation, compelled behaviours, limited availability, and other dark patterns are all recognized by the artificial intelligence (AI) system presented in this study. Our approach uses natural language processing and machine learning algorithms to examine internet and application user interfaces and identify indicators that indicate the employment of dark patterns. The authors show how well their approach can recognize and classify dark patterns by thoroughly testing and validating it. This makes it easier to follow rules and promotes a more moral and open online community.

Keywords: Dark patterns, deceptive design, natural language processing, artificial intelligence, machine learning, and user experience.