ArticleWorld journal of clinical cases2025
Skin tone bias in online psoriasis imagery: Insights from an international study.
Article in World journal of clinical cases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
backgroundPsoriasis is often first recognized by patients through online image searches. However, search engine algorithms influenced by geographic location may still produce results that predominantly feature lighter skin tones, regardless of the region's majority skin type. This underrepresentation may limit recognition and delay care for people of color.
aimTo examine whether search algorithms tailor region-specific results in terms of skin color for psoriasis imagery.
methodsThis observational study recruited 66 participants from 18 countries who conducted image searches for "psoriasis" across various web browsers. During the meeting, a Google form was posted to record observations, and participants reported the diversity of skin tones in the first three rows of search results using a reference image depicting Fitzpatrick types.
resultsResults showed a global bias toward lighter skin tones, with 94% of participants identifying light skin predominance in the first row and minimal representation of medium or darker skin tones in subsequent results, verified
conclusionThere remains a significant gap in global representation of psoriasis imagery. This paper deepens the current understanding of bias in online media and pushes for further exploration of more inclusive dermatologic imagery.
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