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} }