601 citations · 951 across the 24 of their papers we have counts for
31 papers
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
Canyu Chen, Haoran Wang, Matthew Shapiro +3
Social media has been one of the main information consumption sources for the public, allowing people to seek and spread information more quickly and easily. However, the rise of v…
Domain Adaptive Fake News Detection via Reinforcement Learning
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu +2
With social media being a major force in information consumption, accelerated propagation of fake news has presented new challenges for platforms to distinguish between legitimate…
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders
Xinyi Zhou, Kai Shu, Vir V. Phoha +2
Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our ai…
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Zhao Wang, Kai Shu, Aron Culotta
Recent work has raised concerns on the risk of spurious correlations and unintended biases in statistical machine learning models that threaten model robustness and fairness. In th…
Labeled Data Generation with Inexact Supervision
Enyan Dai, Kai Shu, Yiwei Sun +1
The recent advanced deep learning techniques have shown the promising results in various domains such as computer vision and natural language processing. The success of deep neural…
User Preference-aware Fake News Detection
Yingtong Dou, Kai Shu, Congying Xia +2
Disinformation and fake news have posed detrimental effects on individuals and society in recent years, attracting broad attention to fake news detection. The majority of existing…