Using Noisy Self-Reports to Predict Twitter User Demographics

Zach Wood-Doughty, Paiheng Xu, Xiao Liu, Mark Dredze. Using Noisy Self-Reports to Predict Twitter User Demographics. In Lun-Wei Ku, Cheng-Te Li, editors, Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2021, Online, June 10, 2021. pages 123-137, Association for Computational Linguistics, 2021. [doi]

@inproceedings{Wood-DoughtyXLD21,
  title = {Using Noisy Self-Reports to Predict Twitter User Demographics},
  author = {Zach Wood-Doughty and Paiheng Xu and Xiao Liu and Mark Dredze},
  year = {2021},
  doi = {10.18653/v1/2021.socialnlp-1.11},
  url = {https://doi.org/10.18653/v1/2021.socialnlp-1.11},
  researchr = {https://researchr.org/publication/Wood-DoughtyXLD21},
  cites = {0},
  citedby = {0},
  pages = {123-137},
  booktitle = {Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, SocialNLP@NAACL 2021, Online, June 10, 2021},
  editor = {Lun-Wei Ku and Cheng-Te Li},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-32-9},
}