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European Conference on Computer Vision

ECCV 2022: Computer Vision – ECCV 2022 Workshops pp 714–721Cite as

Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 13803)

Abstract

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.

Keywords

  • Self-representation
  • Racial bias
  • Ethics

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References

  1. Abi-Jaoude, E., Naylor, K.T., Pignatiello, A.: Smartphones, social media use and youth mental health. Can. Med. Assoc. J. 192(6) (2020). https://doi.org/10.1503/cmaj.190434

  2. Anderson, J., Rainie, L.: The metaverse in 2040. Pew Research Center (2022)

    Google Scholar 

  3. Bessière, K., Seay, A.F., Kiesler, S.: The ideal elf: identity exploration in world of Warcraft. Cyberpsychol. Behav. 10(4), 530–535 (2007)

    CrossRef  Google Scholar 

  4. Ducheneaut, N., Wen, M.H., Yee, N., Wadley, G.: Body and mind: a study of avatar personalization in three virtual worlds. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1151–1160 (2009)

    Google Scholar 

  5. Higgins, E.T.: Self-discrepancy: a theory relating self and affect. Psychol. Rev. 94(3), 319 (1987)

    CrossRef  Google Scholar 

  6. Jagota, V.: Why do all the snapchat filters try to make you look white? June 2016

    Google Scholar 

  7. Karkkainen, K., Joo, J.: FairFace: face attribute dataset for balanced race, gender, and age for bias measurement and mitigation. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 1548–1558, January 2021

    Google Scholar 

  8. Khunger, N., Pant, H.: Cosmetic procedures in adolescents: what’s safe and what can wait. Indian J. Paediatr. Dermatol. 22(1), 12–20 (2021). https://doi.org/10.4103/ijpd.IJPD_53_20

    CrossRef  Google Scholar 

  9. Kolesnichenko, A., McVeigh-Schultz, J., Isbister, K.: Understanding emerging design practices for avatar systems in the commercial social VR ecology. In: Proceedings of the 2019 on Designing Interactive Systems Conference, pp. 241–252 (2019)

    Google Scholar 

  10. Lee, L.H., et al.: All one needs to know about metaverse: a complete survey on technological singularity, virtual ecosystem, and research agenda. arXiv preprint arXiv:2110.05352 (2021)

  11. Li, S.: The problems with Instagram’s most popular beauty filters, from augmentation to eurocentrism, July 2020

    Google Scholar 

  12. Maloney, D.: Mitigating negative effects of immersive virtual avatars on racial bias. In: Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, CHI PLAY 2018 Extended Abstracts, pp. 39–43. Association for Computing Machinery, New York (2018). https://doi.org/10.1145/3270316.3270599

  13. Manago, A.M., Graham, M.B., Greenfield, P.M., Salimkhan, G.: Self-presentation and gender on myspace. J. Appl. Dev. Psychol. 29(6), 446–458 (2008)

    CrossRef  Google Scholar 

  14. Messinger, P.R., Ge, X., Stroulia, E., Lyons, K., Smirnov, K., Bone, M.: On the relationship between my avatar and myself. J. Virtual Worlds Res. 1(2) (2008). https://doi.org/10.4101/jvwr.v1i2.352

  15. Mulaudzi, S.: Let’s be honest: snapchat filters are a little racist, January 2017. https://www.huffingtonpost.co.uk/2017/01/25/snapchat-filters-are-harming-black-womens-self-image_a_21658358/

  16. Mummendey, H.D.: Psychologie der Selbstdarstellung (1990)

    Google Scholar 

  17. Neely, E.L.: No player is ideal: why video game designers cannot ethically ignore players’ real-world identities. ACM SIGCAS Comput. Soc. 47(3), 98–111 (2017)

    CrossRef  Google Scholar 

  18. Parkhi, O.M., Vedaldi, A., Zisserman, A.: Deep face recognition. British Machine Vision Association (2015)

    Google Scholar 

  19. Riccio, P., Psomas, B., Galati, F., Escolano, F., Hofmann, T., Oliver, N.M.: OpenFilter: a framework to democratize research access to social media AR filters. In: Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2022). https://openreview.net/forum?id=VF9f79cCYdZ

  20. Ryan-Mosley, T.: Beauty filters are changing the way young girls see themselves, April 2021. https://www.technologyreview.com/2021/04/02/1021635/beauty-filters-young-girls-augmented-reality-social-media/

  21. Ryan-Mosley, T.: How digital beauty filters perpetuate colorism, August 2021

    Google Scholar 

  22. Selvaraju, R.R., Das, A., Vedantam, R., Cogswell, M., Parikh, D., Batra, D.: Grad-CAM: why did you say that? arXiv preprint arXiv:1611.07450 (2016)

  23. Serengil, S.I., Ozpinar, A.: LightFace: a hybrid deep face recognition framework. In: 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), pp. 23–27. IEEE (2020). https://doi.org/10.1109/ASYU50717.2020.9259802

  24. Shein, E.: Filtering for beauty. Commun. ACM 64(11), 17–19 (2021)

    CrossRef  Google Scholar 

  25. Woodruff, A., Fox, S.E., Rousso-Schindler, S., Warshaw, J.: A qualitative exploration of perceptions of algorithmic fairness. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, pp. 1–14. Association for Computing Machinery, New York (2018). https://doi.org/10.1145/3173574.3174230

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Acknowledgements

P.R. and N.O. are supported by a nominal grant received at the ELLIS Unit Alicante Foundation from the Regional Government of Valencia in Spain (Convenio Singular signed with Generalitat Valenciana, Conselleria d’Innovació, Universitats, Ciència i Societat Digital, Dirección General para el Avance de la Sociedad Digital). P.R. is also supported by a grant by the Banc Sabadell Foundation.

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Authors and Affiliations

  1. ELLIS Alicante, Alicante, Spain

    Piera Riccio & Nuria Oliver

Authors
  1. Piera Riccio
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  2. Nuria Oliver
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Corresponding author

Correspondence to Piera Riccio .

Editor information

Editors and Affiliations

  1. IBM Research - MIT-IBM Watson AI Lab, Massachusetts, USA

    Leonid Karlinsky

  2. Technion – Israel Institute of Technology, Haifa, Israel

    Tomer Michaeli

  3. Kyoto University, Kyoto, Japan

    Ko Nishino

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Cite this paper

Riccio, P., Oliver, N. (2023). Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters. In: Karlinsky, L., Michaeli, T., Nishino, K. (eds) Computer Vision – ECCV 2022 Workshops. ECCV 2022. Lecture Notes in Computer Science, vol 13803. Springer, Cham. https://doi.org/10.1007/978-3-031-25066-8_43

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  • DOI: https://doi.org/10.1007/978-3-031-25066-8_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25065-1

  • Online ISBN: 978-3-031-25066-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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