About Engaging and Governing Strategies: A Thematic Analysis of Dark Patterns in Social Networking Services
March 01, 2023 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Thomas Mildner, Gian-Luca Savino, Philip R. Doyle, Benjamin R. Cowan, Rainer Malaka
arXiv ID
2303.00476
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
60
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
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.
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