The Elusiveness of Detecting Political Bias in Language Models.
Riccardo Lunardi|David La Barbera|Kevin Roitero
| Anthology ID: | DBLP:conf/cikm/LunardiBR24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3922-3926 |
| URL: | https://doi.org/10.1145/3627673.3680002 |
| DOI: | https://doi.org/10.1145/3627673.3680002 |
| DBLP: | conf/cikm/LunardiBR24 |
| BibTeX: |
@inproceedings{lunardi-2024-elusiveness,
author = {Riccardo Lunardi and
David La Barbera and
Kevin Roitero},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{The Elusiveness of Detecting Political Bias in Language Models}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3922--3926},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680002},
doi = {https://doi.org/10.1145/3627673.3680002}
}