Document Type
Article
Publication Date
10-2021
ISSN
2573-0142
Publisher
Association for Computing Machinery
Language
en-US
Abstract
Dark patterns are user interface elements that can influence a person's behavior against their intentions or best interests. Prior work identified these patterns in websites and mobile apps, but little is known about how the design of platforms might impact dark pattern manifestations and related human vulnerabilities. In this paper, we conduct a comparative study of mobile application, mobile browser, and web browser versions of 105 popular services to investigate variations in dark patterns across modalities. We perform manual tests, identify dark patterns in each service, and examine how they persist or differ by modality. Our findings show that while services can employ some dark patterns equally across modalities, many dark patterns vary between platforms, and that these differences saddle people with inconsistent experiences of autonomy, privacy, and control. We conclude by discussing broader implications for policymakers and practitioners, and provide suggestions for furthering dark patterns research.
Recommended Citation
Johanna Gunawan, Amogh Pradeep, David Choffnes, Woodrow Hartzog & Christo Wilson,
A Comparative Study of Dark Patterns Across Mobile and Web Modalities
,
in
5
Proceedings of the ACM on Human-Computer Interaction
1
(2021).
Available at:
https://doi.org/https://doi.org/10.1145/3479521
Comments
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ACM Reference Format: Johanna Gunawan, Amogh Pradeep, David Choffnes, Woodrow Hartzog, and Christo Wilson. 2021. A Comparative Study of Dark Patterns Across Mobile and Web Modalities. Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 377 (October 2021), 29 pages. https://doi.org/10.1145/3479521