mlsanityData to 7 Oct 2026

Racial Bias in the Beautyverse

arXiv 2209.13939 ↗First posted 28 Sep 2022cs.AI cs.CV cs.CYcited by 1

Not on the map. Why?

Abstract (arXiv)

This short paper proposes a preliminary and yet insightful investigation of racial biases in beauty filters techniques currently used on social media. The obtained results are a call to action for researchers in Computer Vision: such biases risk being replicated and exaggerated in the Metaverse and, as a consequence, they deserve more attention from the community.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 25 references that are in the map. First posted on arXiv 28 Sep 2022.

Builds on

3 of 25 references.

References · 3

  1. 2016Grad-CAM: Why did you say that?cited by 159
  2. 2021All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agendacited by 67
  3. 2022OpenFilter: A Framework to Democratize Research Access to Social Media AR Filterscited by 2

Built on by

Cited by year

Citing papers per year: 2022: 1.

1 paper.

  1. 2022A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysiscited by 3