Redress for dark patterns privacy harms?: A case study on consent interactions

Johanna  Gunawan; Cristiana Santos; Irene Kamara

doi:10.1145/3511265.3550448

Redress for dark patterns privacy harms? A case study on consent interactions

Johanna Gunawan, Cristiana Santos, Irene Kamara

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Original language	English
Title of host publication	CSLAW '22
Subtitle of host publication	Proceedings of the 2022 Symposium on Computer Science and Law
Publisher	Association for Computing Machinery
Pages	181-194
Number of pages	14
ISBN (Print)	978-1-4503-9234-1
DOIs	https://doi.org/10.1145/3511265.3550448
Publication status	Published - Nov 2022
Event	2022 ACM Symposium on Computer Science and Law - Washington , United States Duration: 1 Nov 2022 → … https://computersciencelaw.org/2022

Conference

Conference	2022 ACM Symposium on Computer Science and Law
Abbreviated title	ACM CSLaw’22
Country/Territory	United States
City	Washington
Period	1/11/22 → …
Internet address	https://computersciencelaw.org/2022

Keywords

consent
GDPR
dark patterns
immaterial damage
compensation

Access to Document

10.1145/3511265.3550448

gunawan_santos_kamara_2022_cslawProof, 584 KB

Cite this

@inproceedings{6e98d9150d8443adab555709146c581d,

title = "Redress for dark patterns privacy harms?: A case study on consent interactions",

keywords = "consent, GDPR, dark patterns, immaterial damage, compensation",

author = "Johanna Gunawan and Cristiana Santos and Irene Kamara",

year = "2022",

month = nov,

doi = "10.1145/3511265.3550448",

language = "English",

isbn = "978-1-4503-9234-1",

pages = "181--194",

booktitle = "CSLAW '22",

publisher = "Association for Computing Machinery",

address = "United States",

note = "2022 ACM Symposium on Computer Science and Law, ACM CSLaw{\textquoteright}22 ; Conference date: 01-11-2022",

url = "https://computersciencelaw.org/2022",

}

Gunawan, J, Santos, C & Kamara, I 2022, Redress for dark patterns privacy harms? A case study on consent interactions. in CSLAW '22: Proceedings of the 2022 Symposium on Computer Science and Law. Association for Computing Machinery, pp. 181-194, 2022 ACM Symposium on Computer Science and Law, Washington , Washington, United States, 1/11/22. https://doi.org/10.1145/3511265.3550448

Redress for dark patterns privacy harms? A case study on consent interactions. / Gunawan, Johanna ; Santos, Cristiana; Kamara, Irene.
CSLAW '22: Proceedings of the 2022 Symposium on Computer Science and Law. Association for Computing Machinery, 2022. p. 181-194.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Redress for dark patterns privacy harms?

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AU - Gunawan, Johanna

AU - Santos, Cristiana

AU - Kamara, Irene

PY - 2022/11

Y1 - 2022/11

KW - consent

KW - GDPR

KW - dark patterns

KW - immaterial damage

KW - compensation

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DO - 10.1145/3511265.3550448

M3 - Conference contribution

SN - 978-1-4503-9234-1

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BT - CSLAW '22

PB - Association for Computing Machinery

Y2 - 1 November 2022

ER -