The Origin and Value of Disagreement Among Data Labelers: A Case Study of Individual Differences in Hate Speech Annotation

Yisi Sang, Jeffrey Stanton. The Origin and Value of Disagreement Among Data Labelers: A Case Study of Individual Differences in Hate Speech Annotation. In Malte Smits, editor, Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28 - March 4, 2022, Proceedings, Part I. Volume 13192 of Lecture Notes in Computer Science, pages 425-444, Springer, 2022. [doi]

@inproceedings{SangS22,
  title = {The Origin and Value of Disagreement Among Data Labelers: A Case Study of Individual Differences in Hate Speech Annotation},
  author = {Yisi Sang and Jeffrey Stanton},
  year = {2022},
  doi = {10.1007/978-3-030-96957-8_36},
  url = {https://doi.org/10.1007/978-3-030-96957-8_36},
  researchr = {https://researchr.org/publication/SangS22},
  cites = {0},
  citedby = {0},
  pages = {425-444},
  booktitle = {Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28 - March 4, 2022, Proceedings, Part I},
  editor = {Malte Smits},
  volume = {13192},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-96957-8},
}