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} }