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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| Format: | Article |
| Language: | English |
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University Library System, University of Pittsburgh
2021-11-01
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| Series: | Journal of the Medical Library Association |
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| Online Access: | https://jmla.pitt.edu/ojs/jmla/article/view/1252 |