Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection.
Sungwon Park|Sungwon Han|Xing Xie|Jae-Gil Lee|Meeyoung Cha
| Anthology ID: | DBLP:conf/www/000100LC25 |
|---|---|
| Volume: | 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: | 4024-4033 |
| URL: | https://doi.org/10.1145/3696410.3714569 |
| DOI: | https://doi.org/10.1145/3696410.3714569 |
| DBLP: | conf/www/000100LC25 |
| BibTeX: |
@inproceedings{park-2025-adversarial,
author = {Sungwon Park and
Sungwon Han and
Xing Xie and
Jae-Gil Lee and
Meeyoung Cha},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {4024--4033},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714569},
doi = {https://doi.org/10.1145/3696410.3714569}
}