This work-in-progress paper delves into the effects of AR beauty filters on social media, scrutinising their contribution to unrealistic beauty standards and their psychological impact on users. Utilising objectification theory, it explores the reinforcement of gender biases through these filters. The study highlights gender disparities in TikTok filter 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 filters. Ultimately, the study calls for augmented transparency and regulatory oversight to address the broader societal implications of beauty filters and their perpetuation of biased stereotypes.

Authors: Miriam Doh, Corinna Cali, Anastasia Karagianni.

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