Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification.

Daniel Borkan|Lucas Dixon|Jeffrey Sorensen|Nithum Thain|Lucy Vasserman


Anthology ID:DBLP:conf/www/BorkanDSTV19
Volume:Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019.
Year:2019
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:491-500
URL:https://doi.org/10.1145/3308560.3317593
DOI:https://doi.org/10.1145/3308560.3317593
DBLP:conf/www/BorkanDSTV19
BibTeX:
@inproceedings{borkan-2019-nuanced, author = {Daniel Borkan and Lucas Dixon and Jeffrey Sorensen and Nithum Thain and Lucy Vasserman}, editor = {Sihem Amer-Yahia and Mohammad Mahdian and Ashish Goel and Geert-Jan Houben and Kristina Lerman and Julian J. McAuley and Ricardo Baeza-Yates and Leila Zia}, title = {{Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification}}, booktitle = {{Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}}, pages = {491--500}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3308560.3317593}, doi = {https://doi.org/10.1145/3308560.3317593} }