3 papers
cs.CL2024
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection
Junwei Yin, Min Gao, Kai Shu +3
The rapid proliferation of fake news on social media threatens social stability, creating an urgent demand for more effective detection methods. While many promising approaches hav…
cs.IR2024
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing
Yinqiu Huang, Shuli Wang, Min Gao +6
Uplift modeling, vital in online marketing, seeks to accurately measure the impact of various strategies, such as coupons or discounts, on different users by predicting the Individ…
cs.CL2023
Emulating Reader Behaviors for Fake News Detection
Junwei Yin, Min Gao, Kai Shu +3
The wide dissemination of fake news has affected our lives in many aspects, making fake news detection important and attracting increasing attention. Existing approaches make subst…