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- W4220796616 startingPage "147035722210774" @default.
- W4220796616 abstract "A long legacy of media imagery persistently distorts, stereotypes, and ignores marginalized racial and ethnic groups despite widespread calls to diversify media representations. In particular, fashion and beauty media continue to feature light-skinned models and celebrities over dark-skinned individuals, even lightening dark skin with photo editing to achieve ideals of whiteness and lightness. This practice aligns with colorism, or the privileging of light skin tones for access to economic and social capital. This study examines colorism in a particular genre of digital photography, online retail images, as a problem of visual representation. The novel method of visual computational analysis is used to quantitatively compare how mainstream clothing retail brands represent model skin tones across still and video media modes. The findings suggest that analyzed retailers tended to favor light-skinned models on their websites and that model skin tones in product videos were significantly darker than in product photos. These findings are considered through research on race and technology, photographic manipulation, and media misinformation. Ultimately, the study suggests that visual (in)consistencies can reveal the role of structural biases in shaping media representations. The article also provides a methodological tool for conducting this work." @default.
- W4220796616 created "2022-04-03" @default.
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- W4220796616 date "2022-03-13" @default.
- W4220796616 modified "2023-09-25" @default.
- W4220796616 title "Computing colorism: skin tone in online retail imagery" @default.
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- W4220796616 doi "https://doi.org/10.1177/14703572221077444" @default.
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