Mills, S. orcid.org/0000-0002-6698-0983, Whittle, R., Ahmed, R. et al. (2 more authors) (2023) Dark patterns and sludge audits: an integrated approach. Behavioural Public Policy. ISSN 2398-063X
Abstract
Dark patterns are user interface design elements which harm users but benefit vendors. These harms have led to growing interest from several stakeholders, including policymakers. We develop a high-level analytical framework – the dark patterns auditing framework (DPAF) – to support policymaker efforts concerning dark patterns. There are growing links between dark patterns and the behavioural science concept of sludge. We examine both literatures, noting several worthwhile similarities and important conceptual differences. Using two ‘sludge audits,’ and the DPAF, we examine 14 large online services to provide a high-level review of the user experience of these services. Our approach allows policymakers to identify areas of the user ‘journey’ (dark paths) where sludge/dark patterns persist. For regulators with constrained resources, such an approach more be advantageous when planning more granular analyses. Our approach also reveals several important limitations, notably, within some of the tools for sludge auditing which we develop, such as the ‘equal clicks principle.’ We discuss these limitations and directions for future research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), 2023. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | dark patterns, sludge, sludge audit, user experience design, behavioural audit |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Economics Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Nov 2023 10:46 |
Last Modified: | 07 Nov 2023 10:46 |
Status: | Published online |
Publisher: | Cambridge University Press |
Identification Number: | 10.1017/bpp.2023.24 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204977 |
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