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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Détails bibliographiques
Auteur principal: Paul Sebo
Format: article
Langue:EN
Publié: University Library System, University of Pittsburgh 2021
Sujets:
Z
R
Accès en ligne:https://doaj.org/article/4e0663cfa18448c28fb87b6ae0702cc7
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