Crowd-sourcing Multi-Domain Issues in Consent Dialogues for Automated Generation of Legal Complaints

File Type:
PDFItem Type:
Conference PaperDate:
2021Access:
openAccessCitation:
Harshvardhan J. Pandit,Brian Lynch,Dave Lewis, Crowd-sourcing Multi-Domain Issues in Consent Dialogues for Automated Generation of Legal Complaints, CHI Workshop on Dark Patterns in Design: What Can CHI Do About Dark Patterns? (DarkPatterns) - co-located with ACM Conference on Human Factors in Computing Systems (CHI), Virtual / Online, May 8, 2021, 2021Download Item:

Abstract:
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.
Author's Homepage:
http://people.tcd.ie/pandithjhttp://people.tcd.ie/delewis
Description:
PRESENTEDVirtual / Online
Author: Pandit, Harshvardhan; Lewis, David
Other Titles:
CHI Workshop on Dark Patterns in Design: What Can CHI Do About Dark Patterns? (DarkPatterns) - co-located with ACM Conference on Human Factors in Computing Systems (CHI)Type of material:
Conference PaperCollections:
Availability:
Full text availableKeywords:
Consent, Dark patterns, Legal compliance, GDPR, CCPA, Crowd-sourcing, Security and privacy, Social aspects of security and privacyDOI:
https://doi.org/10.5281/zenodo.4553324Licences: