The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News.

Yuhan Liu|Yuxuan Liu|Xiaoqing Zhang|Xiuying Chen|Rui Yan


Anthology ID:DBLP:conf/sigir/LiuLZC025
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:504-514
URL:https://doi.org/10.1145/3726302.3730092
DOI:https://doi.org/10.1145/3726302.3730092
DBLP:conf/sigir/LiuLZC025
BibTeX:
@inproceedings{liu-2025-truth, author = {Yuhan Liu and Yuxuan Liu and Xiaoqing Zhang and Xiuying Chen and Rui Yan}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {504--514}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3730092}, doi = {https://doi.org/10.1145/3726302.3730092} }