A5065664668- Misinformation and Its Impacts
- Complex Network Analysis Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Advanced Clustering Algorithms Research
- Web Data Mining and Analysis
- Spam and Phishing Detection
- Rough Sets and Fuzzy Logic
- Data Management and Algorithms
- Text and Document Classification Technologies
- Neutrino Physics Research
- Viral Infections and Outbreaks Research
- Scientific Computing and Data Management
Northwest Normal University
2016-2024
Beijing Jiaotong University
2021-2023
Massive rumors usually appear along with breaking news or trending topics, seriously hindering the truth. Existing rumor detection methods are mostly focused on same domain, thus have poor performance in cross-domain scenarios due to domain shift. In this work, we propose an end-to-end instance-wise and prototype-wise contrastive learning model cross-attention mechanism for detection. The not only performs feature alignment, but also enforces target samples align corresponding prototypes of...
With the rapid evolution of social media, rumors travel at unprecedented speeds. Automatic recognition is important for making users receive truthful information and maintaining harmony. Recently, deep learning models have demonstrated strong rumor detection ability by capturing semantics rumors, propagation patterns integrating users' properties,etc. However, most existing perform poorly on unseen events because they are powerful event-specific features in seen data, which cannot be...