Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom.
Bo Wang|Jing Ma|Hongzhan Lin|Zhiwei Yang|Ruichao Yang|Yuan Tian|Yi Chang
| Anthology ID: | DBLP:conf/www/WangML0YT024 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2452-2463 |
| URL: | https://doi.org/10.1145/3589334.3645471 |
| DOI: | https://doi.org/10.1145/3589334.3645471 |
| DBLP: | conf/www/WangML0YT024 |
| BibTeX: |
@inproceedings{wang-2024-explainable,
author = {Bo Wang and
Jing Ma and
Hongzhan Lin and
Zhiwei Yang and
Ruichao Yang and
Yuan Tian and
Yi Chang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2452--2463},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645471},
doi = {https://doi.org/10.1145/3589334.3645471}
}