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        <title>Gender and Dialect Bias in YouTube’s Automatic Captions</title>
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    <abstract>This project evaluates the accuracy of YouTube’s automatically-generated captions across two genders and five dialect groups. Speakers’ dialect and gender was controlled for by using videos uploaded as part of the “accent tag challenge”, where speakers explicitly identify their language background. The results show robust differences in accuracy across both gender and dialect, with lower accuracy for 1) women and 2) speakers from Scotland. This finding builds on earlier research finding that speaker’s sociolinguistic identity may negatively impact their ability to use automatic speech recognition, and demonstrates the need for sociolinguistically-stratified validation of systems.</abstract>
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%0 Conference Proceedings
%T Gender and Dialect Bias in YouTube’s Automatic Captions
%A Tatman, Rachael
%Y Hovy, Dirk
%Y Spruit, Shannon
%Y Mitchell, Margaret
%Y Bender, Emily M.
%Y Strube, Michael
%Y Wallach, Hanna
%S Proceedings of the First ACL Workshop on Ethics in Natural Language Processing
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F tatman-2017-gender
%X This project evaluates the accuracy of YouTube’s automatically-generated captions across two genders and five dialect groups. Speakers’ dialect and gender was controlled for by using videos uploaded as part of the “accent tag challenge”, where speakers explicitly identify their language background. The results show robust differences in accuracy across both gender and dialect, with lower accuracy for 1) women and 2) speakers from Scotland. This finding builds on earlier research finding that speaker’s sociolinguistic identity may negatively impact their ability to use automatic speech recognition, and demonstrates the need for sociolinguistically-stratified validation of systems.
%R 10.18653/v1/W17-1606
%U https://aclanthology.org/W17-1606
%U https://doi.org/10.18653/v1/W17-1606
%P 53-59

Markdown (Informal)

[Gender and Dialect Bias in YouTube’s Automatic Captions](https://aclanthology.org/W17-1606) (Tatman, EthNLP 2017)

• Gender and Dialect Bias in YouTube’s Automatic Captions (Tatman, EthNLP 2017)

ACL

• Rachael Tatman. 2017. Gender and Dialect Bias in YouTube’s Automatic Captions. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing, pages 53–59, Valencia, Spain. Association for Computational Linguistics.