3 papers
cs.LG2026
Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns
Sishun Liu, Sajal Halder, Ke Deng +2
Information Operations on social media networks have been identified as a significant threat to democracy and modern society, but they are challenging and expensive to detect by hu…
cs.SI2026
Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling
Xuankai Yang, Yan Wang, Jiajie Zhu +4
Cross-domain fake news detection (CD-FND) transfers knowledge from a source domain to a target domain and is crucial for real-world fake news mitigation. This task becomes particul…
cs.SI2025
A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection
Xuankai Yang, Yan Wang, Xiuzhen Zhang +3
Cross-domain fake news detection aims to mitigate domain shift and improve detection performance by transferring knowledge across domains. Existing approaches transfer knowledge ba…