Ruhr-Uni-Bochum
HGI

Copyright: HGI, stock.adobe.com: chinnarach

CASA Distinguished Lecture mit Nataliia Bielova (Inria Center)

Das Thema ist "Regulating Consent and Dark Patterns on the Web: A Transdisciplinary Approach with Web Measurements, Law, and HCI".

Copyright: CASA/ Centre Inria

d'Université Côte d'Azur

Wir laden herzlich zur CASA Distinguished Lecture am Dienstag, 18. März 2025, ein.

Wann: 01.04.2025, 14:00 Uhr
Wo: Gebäude TZR ("MB"), Ebene 1, Raum S-MO-104, Universitätsstraße 142, 44799 Bochum
Online-Teilnahme: Zoom-Webinar


Abstract. Since several decades, Web tracking technologies have been implementing mass surveillance on the Web for the purpose of data collection and advertising. The EU regulators aim to protect users with the GDPR requirements for valid consent, which are implemented with cookie consent banners. At the same time, users are manipulated with “dark patterns” in consent interfaces and other systems, and such manipulation happens not only toward the end users, but also toward other actors in the Web ecosystem. In this talk, I will address the questions of regulating cookie consent and dark patterns with the existing and upcoming EU laws, such as GDPR and the Digital Services Act (DSA). I will explore how a collaboration between law, Web measurements and HCI communities can help regulators make legally binding decisions to protect users and discuss the opportunities and challenges in this new transdisciplinary research field.

Bio. Nataliia Bielova is a Research Director (equivalent to Full Professor with tenure) at Inria -- the French National Institute for Research in Digital Science and Technology. During 2022, she was a Senior Privacy Fellow at the French Data Protection Authority (CNIL). Dr. Bielova is a privacy expert and her current research interests lie at the intersection of Web privacy measurements, auditing compliance with EU laws and human computer interaction with a strong focus on regulating consent, Web tracking and dark patterns.

Allgemeiner Hinweis: Mit einer möglichen Nennung von geschlechtszuweisenden Attributen implizieren wir alle, die sich diesem Geschlecht zugehörig fühlen, unabhängig vom biologischen Geschlecht.