Research on dark patterns has grown rapidly, but challenges remain in situating these practices within broader socio-technical, legal, and design contexts. In this essay, I introduce the concept of the "dark patterns knowledge stack" as a new way of synthesizing evidence about manipulative, coercive, and deceptive design practices. Inspired by Alexander’s notion of pattern language, I demonstrate how the knowledge stack aligns multiple layers of analysis and evidence—from interfaces and user characteristics to the socio-technical landscape and user intentions—revealing how manipulative practices interrelate across scales, are perpetuated through key business metrics, and evolve over time. Use of the knowledge stack is demonstrated through two case studies, followed by provocations for scholars, regulators, and practitioners to work together to more effectively identify harms, negotiate accountability, and chart pathways for more just and transparent digital systems.
ACM CHI Conference on Human Factors in Computing Systems