Classification Algorithm for Skin Color (CASCo): A new tool to measure skin color in social science research.
Objective: A growing body of literature reveals that skin color has significant effects on people's income, health, education, and employment. However, the ways in which skin color has been measured in empirical research have been criticized for being inaccurate, if not subjective and biased. Object...
| Publicado en: | Social Science Quarterly (Wiley-Blackwell) Vol. 104; no. 2; pp. 168 - 180 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Mar2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=163286411&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 163286411 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00384941 SSQ jtl: Social Science Quarterly (Wiley-Blackwell) issn: 00384941 maglogo: Y pubinfo: dt: Mar2023 vid: 104 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 163286411 10.1111/ssqu.13242 ppf: 168 ppct: 12 formats: tig: atl: Classification Algorithm for Skin Color (CASCo): A new tool to measure skin color in social science research. aug: au: Rejón Piña, René Alejandro Ma, Chenglong affil: The University of Melbourne, Melbourne Victoria,, Australia School of Computer Science and Information Technology, RMIT University, Melbourne Victoria,, Australia su: Social science research Paradigms (Social sciences) Human skin color Classification algorithms Measuring instruments K-means clustering Content-based image retrieval sug: subj: Social science research Paradigms (Social sciences) Other Electronic and Precision Equipment Repair and Maintenance Other Measuring and Controlling Device Manufacturing Instruments and Related Products Manufacturing for Measuring, Displaying, and Controlling Industrial Process Variables Research and Development in the Social Sciences and Humanities Human skin color Classification algorithms Measuring instruments K-means clustering Content-based image retrieval keyword: colorism measurement photo elicitation racism skin color spectrometers colorism measurement photo elicitation racism skin color spectrometers ab: Objective: A growing body of literature reveals that skin color has significant effects on people's income, health, education, and employment. However, the ways in which skin color has been measured in empirical research have been criticized for being inaccurate, if not subjective and biased. Objective: Introduce an objective, automatic, accessible and customizable Classification Algorithm for Skin Color (CASCo). Methods: We review the methods traditionally used to measure skin color (verbal scales, visual aids or color palettes, photo elicitation, spectrometers and image‐based algorithms), noting their shortcomings. We highlight the need for a different tool to measure skin color Results: We present CASCo, a (social researcher‐friendly) Python library that uses face detection, skin segmentation and k‐means clustering algorithms to determine the skin tone category of portraits. Conclusion: After assessing the merits and shortcomings of all the methods available, we argue CASCo is well equipped to overcome most challenges and objections posed against its alternatives. While acknowledging its limitations, we contend that CASCo should complement researchers. toolkit in this area. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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