Gender bias at scale: Evidence from the usage of personal names

Recent research within the computational social sciences has shown that when computational models of lexical semantics are trained on standard natural-language corpora, they embody many of the implicit biases that are seen in human behavior (Caliskan, Bryson, & Narayanan, 2017). In the present s...

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Bibliographic Details
Main Authors: Dye, M. (Author), Johns, B.T (Author)
Format: Article
Language:English
Published: Springer New York LLC 2019
Subjects:
Online Access:View Fulltext in Publisher