A Way Out the Ethico-Legal Maze of Social Media Data Scraping

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People know that once they publish something online, such content becomes “publicly available” and can be downloaded and re-used by others, for example, researchers and data scientists. The reality is far more complicated. And for us, finding a way to comply with data protection obligations and to respect the tenets of research ethics became an … Continued

Our comments to EDPB’s Guidelines on Dark patterns

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Together with the manipulation experts Rachele Carli (University of Bologna) and Cristiana Santos (University of Utrecht), we have submitted our feedback to the “Guidelines 3/2022 on Dark patterns in social media platform interfaces: How to recognise and avoid them” elaborated by the European Data Protection Board. Read our public comments.

Panel at the CPDP (Conference on Computer Privacy and Data Protection) on “Privacy design, dark patterns and speculative data futures”

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Panel at the CPDP (Conference on Computer Privacy and Data Protection) 2022 on "Privacy design, dark patterns and speculative data futures”     The DECEPTICON project has organized and financed a great interactive and interdisciplinary panel: Opposite forces harshly confront each other on the battlefield of digital services. On one side, privacy-invasive mechanisms like dark … Continued

Presentation at the Data Privacy Day organized by the CNPD “Ces cookies nuisent à la vie privée !”

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Presentation at the Data Privacy Day organized by the CNPD "Ces cookies nuisent à la vie privée !” Une conférence de la CNPD pour comprendre comment les cookies permettent le traçage et le ciblage publicitaire et comment le design trompeur et des informations non transparentes favorisent leur acceptation. A cette occasion, la CNPD a présenté ses … Continued

Dark patterns at the Luxembourg Privacy Salon

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Dark patterns at the Luxembourg Privacy Salon The last edition of the Luxembourg Privacy Salon focused on dark patterns. Dr. Arianna Rossi led an interactive presentation with the audience. Watch the video to learn more about dark patterns and how they circumvent the data protection requirements of transparency, consent and privacy by default.

Our paper published in the journal Machine Learning Knowledge Extraction, was selected as the cover page of Volume 4, Issue 1.

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An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification Our paper entitled “An Analysis of Cholesteric Spherical Reflector Identifiers for Object Authenticity Verification”, published in the journal Machine Learning & Knowledge Extraction, was selected as the cover page of Volume 4, Issue 1. This research has the potential to change how we authenticate … Continued

Training Data Scientists in Legal Practice

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Report from the SnT Annual Report: Link   In 2017, it was proposed by The Economist that the world’s most valuable resource was no longer oil, but data. In fact, as early as 2006, this shift in our technological activity was hypothesised, including the value that mining and analysing data would hold for us in … Continued

International Women’s Day: Q&A with Arianna Rossi

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Report of the University of Luxembourg on the International Women’s Day: Link International Women’s Day is a global awareness day for celebrating the social, economic, cultural and political achievements of women. Having been marked in our calendars for over a century now – it began in 1911 – the theme of this year’s event is … Continued

DARK BY DESIGN: REGULATING MANIPULATION IN ONLINE ENVIRONMENTS

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DARK BY DESIGN: REGULATING MANIPULATION IN ONLINE ENVIRONMENTS Panel at the Conference on Computer Privacy and Data Protection 2021 Moderator: Arianna Rossi Speakers: Frederik Zuiderveen Borgesius, Estelle Hary, Anne-Jel Hoelen, Ailo Ravna, Geoffrey Delcroix Online services are scrupulously designed to offer the best experience to their users, accommodate their needs and direct their actions towards … Continued