Abstract :
[en] Dark patterns are increasingly ubiquitous in digital services and regulation, describing instances where designers use deceptive, manipulative, or coercive tactics to encourage end users to make decisions that are not in their best interest. Research regarding dark patterns has also increased significantly over the past several years. In this systematic review, we evaluate literature (n=79) from 2014 to 2022 that has empirically described dark patterns in order to identify the presence, impact, or user experience of these patterns as they appear in digital systems. Based on our analysis, we identify key areas of current interest in evaluating dark patterns' context, presence, and impact; describe common disciplinary perspectives and framing concepts; characterize dominant methodologies; and outline opportunities for further methodological support and scholarship to empower scholars, designers, and regulators.
Funding text :
This work is funded in part by the National Science Foundation under Grant No. 1909714, and by the Luxembourg National Research Fund (FNR, Grant No. IS/14717072 Deceptive Patterns Online (De-cepticon)). We also acknowledge the eforts of graduate researcher Ziqing Li and independent scholar Aditya Jain for their eforts in the analysis process.
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