Intersectional Hatred - An Application of Large Language Models to Detect Hate and Offensive Speech Targeted at Congressional Candidates in the 2024 U.S. Election.

Müge Finkel|Dhanaraj Thakur|Steven Finkel|Firat Durusan|Erdem Yörük|Isik Topçu|Melih Can Yardi|Amanda Zaner|Jungmin Han


Anthology ID:DBLP:conf/www/FinkelTFDYTYZH25
Volume:Companion 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:2776-2781
URL:https://doi.org/10.1145/3701716.3716880
DOI:https://doi.org/10.1145/3701716.3716880
DBLP:conf/www/FinkelTFDYTYZH25
BibTeX:
@inproceedings{finkel-2025-intersectional, author = {M\"{u}ge Finkel and Dhanaraj Thakur and Steven Finkel and Firat Durusan and Erdem Y\"{o}r\"{u}k and Isik Top\c{c}u and Melih Can Yardi and Amanda Zaner and Jungmin Han}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Intersectional Hatred - An Application of Large Language Models to Detect Hate and Offensive Speech Targeted at Congressional Candidates in the 2024 U.S. Election}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {2776--2781}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3716880}, doi = {https://doi.org/10.1145/3701716.3716880} }