7 citations · 7 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Explainable History Distillation by Marked Temporal Point Process
Sishun Liu, Ke Deng, Yan Wang +1
Explainability of machine learning models is mandatory when researchers introduce these commonly believed black boxes to real-world tasks, especially high-stakes ones. In this pape…