Dark Patterns in Digital Design: A Review and Assessment via Risk, Trust and Diversity Scores

Abstract

Digital platforms increasingly shape everyday life, yet their design choices often undermine consumer welfare using dark patterns which are deceptive interfaces that manipulate users’ decisions. These practices, ranging from hidden costs in e-commerce to manipulative cookie consent prompts and obstructive subscription cancellations, compromise user autonomy and impose financial, privacy, and psychological harms. The risks vary in severity and reversibility, with some patterns leading to lasting detriment while others create cumulative burdens over time. Beyond immediate harm, dark patterns erode trust in digital systems by fostering frustration, skepticism, and disengagement, weakening the long-term relationship between consumers and platforms. Their persistence reflects strong incentives tied to short-term business metrics such as conversions and sign-ups, combined with weak regulatory oversight. Notably, the diversity of dark patterns like urgency cues, obfuscation, misdirection, and coercion etc. illustrates both their adaptability and the challenges of detection. This paper reviews the dark patterns on digital platforms and proposes a structured framework to evaluate dark patterns across three dimensions: risk, trust erosion, and diversity. It also explores mitigation strategies through fair design, transparency, and accountability, while considering the ethical and legal responsibilities of digital platforms. By centering the analysis on consumer trust and risk, the study highlights the pressing need for robust safeguards to counteract diverse manipulative designs and protect users in digital ecosystems.