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} }