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Investigating Deceptive Design in GDPR’s Legitimate Interest

Kyi, Lin; Ammanaghatta Shivakumar, Sushil; Santos, Cristiana Teixeira; Roesner, Franziska; Zufall, Frederike ORCID iD icon 1; Biega, Asia J.
1 Institut für Informations- und Wirtschaftsrecht (IIWR), Karlsruher Institut für Technologie (KIT)

Abstract:

Legitimate interest is one of the six grounds for processing data
under the European Union’s General Data Protection Regulation
(GDPR). The flexibility and ambiguity of the term "legitimate inter-
ests" can be problematic; coupled with the lack of enforcement from
legal authorities and different interpretations from the various data
protection authorities, legitimate interests can be taken advantage
of as a loophole to collect more user data.
Drawing insights from multiple disciplines, we ran two studies
to empirically investigate the deceptive designs being used when
legitimate interests are applied in privacy notices, and how user
perceptions line up with these practices. We identified six deceptive
designs, and found that the ways legitimate interest is applied in
practice does not match user expectations.


Verlagsausgabe §
DOI: 10.5445/IR/1000177223
Veröffentlicht am 11.12.2024
Originalveröffentlichung
DOI: 10.1145/3544548.3580637
Scopus
Zitationen: 23
Dimensions
Zitationen: 21
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informations- und Wirtschaftsrecht (IIWR)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 19.04.2023
Sprache Englisch
Identifikator ISBN: 978-1-4503-9421-5
KITopen-ID: 1000177223
Erschienen in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Veranstaltung Conference on Human Factors in Computing Systems (CHI 2023), Hamburg, Deutschland, 23.04.2023 – 28.04.2023
Verlag Association for Computing Machinery (ACM)
Seiten 1–16
Nachgewiesen in Scopus
OpenAlex
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