Dual-Aspect Active Learning with Domain-Adversarial Training for Low-Resource Misinformation Detection

Dual-Aspect Active Learning with Domain-Adversarial Training for Low-Resource Misinformation Detection

The rapid spread of misinformation threatens public safety and social stability. Although deep learning-based detection methods have achieved promising results, their effectiveness heavily relies on large amounts of labeled data, limiting their applicability in low-resource scenarios. Existing appro...

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Bibliographic Details
Main Authors: Luyao Hu, Guangpu Han, Shichang Liu, Yuqing Ren, Xu Wang, Zhengyi Yang, Feng Jiang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
low-resource misinformation detection
discrepancy aspect
uncertainty aspect
adversarial training
active learning
Online Access:https://www.mdpi.com/2227-7390/13/11/1752
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