Click, Trap, Repeat: Dark Patterns and the Illusion of Choice in the Digital Market
- Title
- Click, Trap, Repeat: Dark Patterns and the Illusion of Choice in the Digital Market
- Creator
- Akanksha
- Description
- This chapter will look into how AI has transformed the traditional methods of dark patterns, which are deceptive, manipulative designs used to trick users into decisions that wouldnt have been made if such patterns were not introduced. It will analyse how such patterns use predictive reasonings across e-commerce, social media, and fintech platforms, influencing consumer behavior and their decision-making. The chapter highlights the wide regulatory gap in addressing the manipulations and ethical implications by drawing on global developments from the European Union, the United States, and Asia. The study aims to provide a multidisciplinary understanding of how AI boosts digital deception and to propose a legal framework that safeguards user autonomy, promotes transparency, and ensures accountability in an AI-mediated consumer environment Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.
- Source
- AI Transformations in Global Legal Systems;pp.355-389
- Date
- 01-01-2026
- Publisher
- IGI Global Scientific Publishing
- Coverage
- Akanksha, Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833737687-5; 979-833737685-1; 979-833737686-8;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Akanksha, “Click, Trap, Repeat: Dark Patterns and the Illusion of Choice in the Digital Market,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/24916.
