Detecting Linguistic Bias in Government Documents Using Large language Models.
Milena de Swart|Floris den Hengst|Jieying Chen
| Anthology ID: | DBLP:conf/www/SwartHC25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 5034-5044 |
| URL: | https://doi.org/10.1145/3696410.3714526 |
| DOI: | https://doi.org/10.1145/3696410.3714526 |
| DBLP: | conf/www/SwartHC25 |
| BibTeX: |
@inproceedings{swart-2025-detecting,
author = {Milena de Swart and
Floris den Hengst and
Jieying Chen},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Detecting Linguistic Bias in Government Documents Using Large language Models}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {5034--5044},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714526},
doi = {https://doi.org/10.1145/3696410.3714526}
}