Conference paper Open Access
Crowd-sourcing Multi-Domain Issues in Consent Dialogues for Automated Generation of Legal Complaints
Pandit, Harshvardhan J.;
Lynch, Brian;
Lewis, Dave
Analysis of dark patterns in consent dialogues includes issues that several domains: HCI for the analysis of interaction mechanisms; psychology and ethics for understanding impact to the individual, technological understanding of their implementation, and finally connecting them to specific legal violations for enforceable actions. We propose creating a mapping between issues from different domains so as to enable researchers to communicate and collaborate towards legally enforceable complaints regarding violations of consent requirements. We discuss how this mapping provides benefits in terms of richer data collection and analysis, automation of documentation generation, and enabling any individual to address malpractices online.
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Crowdsourcing_Issues_Across_Domains_in_Consent_Dialogues_for_Automated_Generation_of_Legal_Complaints.pdf
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| Data volume | 124.1 MB | 124.1 MB |
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- Publication date:
- February 20, 2021
- DOI:
-
- Grants:
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European Commission:
- NGI_TRUST - Partnership for innovative technological solutions to ensure privacy and enhance trust for the human-centric Internet (825618)
- ADAPT: Centre for Digital Content Platform Research (13/RC/2106)
- Meeting:
- CHI Workshop on Dark Patterns in Design: What Can CHI Do About Dark Patterns?, Virtual, 8 May 2021
- License (for files):
- Creative Commons Attribution 4.0 International