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.

Funding Acknowledgements: This work has been funded by: Irish Research Council Government of Ireland Postdoctoral Fellowship Grant#GOIPD/2020/790; and the European Union's Horizon 2020 research and innovation programme under NGI TRUST Grant#825618 for Project#3.40 Privacy-as-Expected: Consent Gateway; and The ADAPT SFI Centre for Digital Media Technology funded by Science Foundation Ireland through the SFI Research Centres Programme and co-funded under the European Regional Development Fund (ERDF) through Grant#13/RC/2106_P2.
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