Deceptive Patterns
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About Engaging and Governing Strategies: A Thematic Analysis of Dark Patterns in Social Networking Services

Author
Thomas Mildner, Gian-Luca Savino, Philip R. Doyle, Benjamin R. Cowan, Rainer Malaka
Date
19 Apr 2023
Publisher
CHI 2023 / ACM
Focus
Media Manipulation, HCI & Psychology
Category
Academic Scholar

Analyses Facebook, Instagram, TikTok and Twitter/X recordings and distinguishes engaging and governing strategies in social-networking-service dark patterns.

Research in HCI has shown a growing interest in unethical design practices across numerous domains, often referred to as “dark patterns”. There is, however, a gap in related literature regarding social networking services (SNSs). In this context, studies emphasise a lack of users’ self-determination regarding control over personal data and time spent on SNSs. We collected over 16 hours of screen recordings from Facebook’s, Instagram’s, TikTok’s, and Twitter’s mobile applications to understand how dark patterns manifest in these SNSs. For this task, we turned towards HCI experts to mitigate possible difficulties of non-expert participants in recognising dark patterns, as prior studies have noticed. Supported by the recordings, two authors of this paper conducted a thematic analysis based on previously described taxonomies, manually classifying the recorded material while delivering two key findings: We observed which instances occur in SNSs and identified two strategies — engaging and governing — with five dark patterns undiscovered before.