Kai Shu¶
Affiliation: Illinois Institute of Technology (current); Arizona State University (formerly, as of 2019) Research focus: Fake news detection, misinformation on social media, social context modeling, explainability, large language models for misinformation detection.
Papers in this wiki¶
- Can LLM-Generated Misinformation Be Detected? (2024)
- Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models (2023)
- Causal Understanding of Fake News Dissemination on Social Media (2021)
- User Preference-aware Fake News Detection (2021)
- Combating Misinformation in the Age of LLMs: Opportunities and Challenges (2023)
- MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation (2020)
- Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements (2020)
- Beyond News Contents: The Role of Social Context for Fake News Detection (2019)
- dEFEND: Explainable Fake News Detection (2019)
- Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation (2019)
- The Role of User Profiles for Fake News Detection (2019)
- Fake News: Fundamental Theories, Detection Strategies and Challenges (2019)
- FakeNewsNet: A Data Repository with News Content, Social Context and Spatiotemporal Information for Studying Fake News on Social Media (2018)
- Studying Fake News via Network Analysis: Detection and Mitigation (2018)
- Fake News Detection on Social Media: A Data Mining Perspective (2017)