Publication: Representativeness and face-ism: Gender bias in image search
Representativeness and face-ism: Gender bias in image search
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Ulloa, R., Richter, A. C., Makhortykh, M., Urman, A., & Kacperski, C. S. (2024). Representativeness and face-ism: Gender bias in image search. New Media & Society, 26(6), 3541–3567. https://doi.org/10.1177/14614448221100699
Abstract
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Implicit and explicit gender biases in media representations of individuals have long existed. Women are less likely to be represented in gender-neutral media content (representation bias), and their face-to-body ratio in images is often lower (face-ism bias). In this article, we look at representativeness and face-ism in search engine image results. We systematically queried four search engines (Google, Bing, Baidu, Yandex) from three locations, using two browsers and in two waves, with gender-neutral (person, intelligent person) and
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- Ulloa, Roberto
- Richter, Ana Carolina
- Makhortykh, Mykola
- Kacperski, Celina Sylwia
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Ulloa, R., Richter, A. C., Makhortykh, M., Urman, A., & Kacperski, C. S. (2024). Representativeness and face-ism: Gender bias in image search. New Media & Society, 26(6), 3541–3567. https://doi.org/10.1177/14614448221100699
