Feedback to the Guidelines 3/2022 on “Dark patterns in social media platform interfaces: How to recognise and avoid them”

Reference : Feedback to the Guidelines 3/2022 on “Dark patterns in social media platform interfac...


	Document type :	Reports : Expert report
	Discipline(s) :	Law, criminology & political science : Multidisciplinary, general & others Engineering, computing & technology : Computer science Arts & humanities : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/52741

Title :	Feedback to the Guidelines 3/2022 on “Dark patterns in social media platform interfaces: How to recognise and avoid them”
Language :	English
Author, co-author :	Botes, Wilhelmina Maria [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC >]
	Carli, Rachele [Università di Bologna]
	Rossi, Arianna [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC >]
	Sanchez Chamorro, Lorena [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC >]
	Santos, Cristiana [Utrecht University]
	Sergeeva, Anastasia [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC >]
Publication date :	May-2022
Keywords :	[en] dark patterns ; data protection
Funders :	Fonds National de la Recherche - FnR
Permalink :	http://hdl.handle.net/10993/52741
Other URL :	https://edpb.europa.eu/system/files/2022-05/comments_to_edpb_guidelines_on_dark_patterns_for_social_media_-_decepticon_unilu_0.pdf
FnR project :	FnR ; FNR14717072 > Gabriele Lenzini > DECEPTICON > Deceptive Patterns Online > 01/06/2021 > 31/05/2024 > 2020

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	comments_to_edpb_guidelines_on_dark_patterns_for_social_media_-_decepticon_unilu_0.pdf		Author preprint	540.8 kB	View/Open

All documents in ORBi^lu are protected by a user license.