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Abstract :
[en] This work-in-progress paper delves into the efects of AR beauty flters on social media, scrutinising their contribution to unrealistic beauty standards and their psychological impact on users. Utilising objectifcation theory, it explores the reinforcement of gender biases through these flters. The study highlights gender disparities in TikTok flter usage and suggests a transparency-enhancing "disclaimer" feature. It further addresses the regulatory implications of the AI Act on the development and use of AR flters. Ultimately, the study calls for augmented transparency and regulatory oversight to address the broader societal implications of beauty flters and their perpetuation of biased stereotypes.
Funding text :
This work was supported by the ARIAC project (No. 2010235), funded by the Service Public de Wallonie (SPW Recherche). This work was supported by the FARI - AI for the Common Good Institute (ULBVUB), fnanced by the European Union, with the support of the Brussels Capital Region (Innoviris and Paradigm).
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