Language Bias Reduction

Language Bias Reduction is a methodological framework within anti-bias curriculum scholarship that systematically identifies, challenges, and mitigates linguistic inequities embedded in educational materials and practices to promote equitable representation and access for diverse language users.

77

Publications

7.4K

Citations

282

Authors

147

Institutions

Publications per year

2017–2026

57

Authors

282

  1. KC
    Kai-Wei Chang

    University of California, Los Angeles, United States

    6 publications · 575 citations

    6

    h-index

  2. NP
    Nanyun Peng

    University of California, Los Angeles, United States

    5 publications · 550 citations

    5

    h-index

  3. ES
    Emily Sheng

    University of California, Los Angeles, United States

    4 publications · 530 citations

    4

    h-index

  4. PN
    Prem Natarajan

    RTX (United States), United States

    4 publications · 530 citations

    4

    h-index

  5. YC
    Yejin Choi

    University of Washington, United States

    3 publications · 220 citations

    3

    h-index

1–5 of 282

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 285 citations

    7

    h-index

  2. IEEE Transactions on Multimedia

    2 publications · 78 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 81 citations

    2

    h-index

  4. Analysis

    2 publications · 37 citations

    2

    h-index

  5. Foreign Language Annals

    FLA · 1 publications · 20 citations

    1

    h-index

1–5