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

Expert report (Reports)

Botes, Wilhelmina Maria; Carli, Rachele; Rossi, Arianna et al.

2022

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https://hdl.handle.net/10993/52741

comments_to_edpb_guidelines_on_dark_patterns_for_social_media_-_decepticon_unilu_0.pdf

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Keywords :

dark patterns; data protection

Disciplines :

Computer science
Arts & humanities: Multidisciplinary, general & others
Law, criminology & political science: Multidisciplinary, general & others

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

Language :

English

Title :

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

Publication date :

May 2022

Additional URL :

FnR Project :

FNR14717072 - Deceptive Patterns Online, 2020 (01/06/2021-31/05/2024) - Gabriele Lenzini

Funders :

FNR - Fonds National de la Recherche [LU]

Available on ORBilu :

since 12 November 2022

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