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...

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Bibliographic Details
Main Authors: Lucía Santamaría, Helena Mihaljević
Format: Article
Language:English
Published: PeerJ Inc. 2018-07-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-156.pdf