Comparison and benchmark of name-to-gender inference services
The increased interest in analyzing and explaining gender inequalities in tech, media, and academia highlights the need for accurate inference methods to predict a person’s gender from their name. Several such services exist that provide access to large databases of names, often enriched with inform...
Main Authors: | Lucía Santamaría, Helena Mihaljević |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2018-07-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-156.pdf |
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