Using genderize.io to infer the gender of first names: how to improve the accuracy of the inference
Objective: We recently showed that genderize.io is not a sufficiently powerful gender detection tool due to a large number of nonclassifications. In the present study, we aimed to assess whether the accuracy of inference by genderize.io can be improved by manipulating the first names in the database...
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Autor principal: | Paul Sebo |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
University Library System, University of Pittsburgh
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/4e0663cfa18448c28fb87b6ae0702cc7 |
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