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J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News

Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott Ruston, Huan Liu, Joshua Garland


Anthology ID:
2023.ijcnlp-main.32
Volume:
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
November
Year:
2023
Address:
Nusa Dua, Bali
Editors:
Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
Venues:
IJCNLP | AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
484–497
Language:
URL:
https://aclanthology.org/2023.ijcnlp-main.32
DOI:
10.18653/v1/2023.ijcnlp-main.32
Bibkey:
Cite (ACL):
Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott Ruston, Huan Liu, and Joshua Garland. 2023. J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 484–497, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News (Kumarage et al., IJCNLP-AACL 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.ijcnlp-main.32.pdf