Dark patterns at scale: Findings from a crawl of 11K shopping websites
April 4, 2023
Mathur, Arunesh; Acar, Gunes; Friedman, Michael J.; Lucherini, Elena; Mayer, Jonathan; Chetty, Marshini; Narayanan, Arvind
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"We present automated techniques that enable experts to identify dark patterns on a large set of websites. Using these techniques, we study shopping websites, which often use dark patterns to influence users into making more purchases or disclosing more information than they would otherwise. Analyzing ∼53K product pages from ∼11K shopping websites, we discover 1,818 dark pattern instances, together representing 15 types and 7 broader categories. We examine these dark patterns for deceptive practices, and find 183 websites that engage in such practices."