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20172022
most citedFake News Detection on Social Media: A Data Mining Perspective

601 citations · 951 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.CL20202 cited

Fact-Enhanced Synthetic News Generation

Kai Shu, Yichuan Li, Kaize Ding +1

The advanced text generation methods have witnessed great success in text summarization, language translation, and synthetic news generation. However, these techniques can be abuse…

cs.CL20208 cited

Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach

Ahmadreza Mosallanezhad, Kai Shu, Huan Liu

Nowadays, there exist powerful language models such as OpenAI's GPT-2 that can generate readable text and can be fine-tuned to generate text for a specific domain. Considering GPT-…

cs.CL202026 cited

Learning with Weak Supervision for Email Intent Detection

Kai Shu, Subhabrata Mukherjee, Guoqing Zheng +3

Email remains one of the most frequently used means of online communication. People spend a significant amount of time every day on emails to exchange information, manage tasks and…

cs.CL2019

Mining Dual Emotion for Fake News Detection

Xueyao Zhang, Juan Cao, Xirong Li +3

Emotion plays an important role in detecting fake news online. When leveraging emotional signals, the existing methods focus on exploiting the emotions of news contents that convey…

cs.CL201712 cited

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications

Fred Morstatter, Kai Shu, Suhang Wang +1

Most social media platforms are largely based on text, and users often write posts to describe where they are, what they are seeing, and how they are feeling. Because written text…