Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection.
Eun-Cheol Choi|Ashwin Balasubramanian|Jinhu Qi|Emilio Ferrara
| Anthology ID: | DBLP:conf/www/ChoiBQF25 |
|---|---|
| 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: | 934-937 |
| URL: | https://doi.org/10.1145/3701716.3715521 |
| DOI: | https://doi.org/10.1145/3701716.3715521 |
| DBLP: | conf/www/ChoiBQF25 |
| BibTeX: |
@inproceedings{choi-2025-limited,
author = {Eun-Cheol Choi and
Ashwin Balasubramanian and
Jinhu Qi and
Emilio Ferrara},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {934--937},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715521},
doi = {https://doi.org/10.1145/3701716.3715521}
}