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

Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman. Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. In Sihem Amer-Yahia, Mohammad Mahdian, Ashish Goel, Geert-Jan Houben, Kristina Lerman, Julian J. McAuley, Ricardo A. Baeza-Yates, Leila Zia, editors, Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. pages 491-500, ACM, 2019. [doi]

@inproceedings{BorkanDSTV19,
  title = {Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification},
  author = {Daniel Borkan and Lucas Dixon and Jeffrey Sorensen and Nithum Thain and Lucy Vasserman},
  year = {2019},
  doi = {10.1145/3308560.3317593},
  url = {https://doi.org/10.1145/3308560.3317593},
  researchr = {https://researchr.org/publication/BorkanDSTV19},
  cites = {0},
  citedby = {0},
  pages = {491-500},
  booktitle = {Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019},
  editor = {Sihem Amer-Yahia and Mohammad Mahdian and Ashish Goel and Geert-Jan Houben and Kristina Lerman and Julian J. McAuley and Ricardo A. Baeza-Yates and Leila Zia},
  publisher = {ACM},
  isbn = {978-1-4503-6675-5},
}