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://preview.aclanthology.org/remove-affiliations/2023.ijcnlp-main.32/
- DOI:
- 10.18653/v1/2023.ijcnlp-main.32
- 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)
- PDF:
- https://preview.aclanthology.org/remove-affiliations/2023.ijcnlp-main.32.pdf