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