Let silence speak: Enhancing fake news detection with generated comments from large language models

Q Nan, Q Sheng, J Cao, B Hu, D Wang… - Proceedings of the 33rd …, 2024 - dl.acm.org
Fake news detection plays a crucial role in protecting social media users and maintaining a
healthy news ecosystem. Among existing works, comment-based fake news detection …

Can Knowledge Editing Really Correct Hallucinations?

B Huang, C Chen, X Xu, A Payani, K Shu - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) suffer from hallucinations, referring to the non-factual
information in generated content, despite their superior capacities across tasks. Meanwhile …

Mitigating social hazards: Early detection of fake news via diffusion-guided propagation path generation

L Zhang, X Zhang, C Li, Z Zhou, J Liu, F Huang… - Proceedings of the …, 2024 - dl.acm.org
The detection of fake news has emerged as a pressing issue in the era of online social
media. To detect meticulously fabricated fake news, propagation paths are introduced to …

VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning

C Niu, Y Guan, Y Wu, J Zhu, J Song, R Zhong… - arxiv preprint arxiv …, 2024 - arxiv.org
The proliferation of fake news poses a significant threat not only by disseminating
misleading information but also by undermining the very foundations of democracy. The …

Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation

L Zhang, X Zhang, Z Zhou, X Zhang… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Amidst the rapid propagation of multimodal fake news across social media platforms, the
detection of fake news has emerged as a prime research pursuit. To detect heightened level …