Understanding Global Patterns of Claim-Making and the Influence of Generative AI
This project addresses how factual claims and fact-checking efforts circulate across languages, and how gener-ative AI may be reshaping this ecosystem through amplified claim production and AI hallucinations. Using the MultiClaim dataset, which contains approximately 200,000 claims and fact-checking metadata across 39 lan-guages, I will analyze spatio-temporal patterns, cross-lingual claim diffusion, and gaps between misinformation spread and verification responses. Methodologically, the project will combine machine learning to identify AI-generated or AI-influenced claims, including fabricated citations, invented statistics, and non-existent entities. The project aims to develop the foundation for a larger research grant proposal, and generate practical insights for fact-checkers, journalists, and policymakers. A longer-term output is to inform AI-assisted multilingual verification systems that improve detection accuracy, robustness, and response speed.
Main Research Topics
- Information Integrity
- Misinformation
- NLP
- AI Safety
Curriculum Vitae
- 2025 – present: Head, Dept. of Privacy & Cybersecurity Informatics, Penn State University, USA
- 2021 – present: Full Professor, Penn State University, USA
- 2022 – 2023: Fulbright Cyber Security Scholar, Fulbright Comm., UK
- 2022 – 2023: Visiting Professor, University of Cambridge, UK
- 2015 – 2017: Program Director, National Science Foundation, USA
Publications and Presentations
- When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms, Chaewan Chun, Delvin Ce Zhang, Dongwon Lee, 64th Annual Meeting of the Asso. for Comp. Linguistics (ACL), San Diego, CA, July 2026
- CORRECT: Context- and Reference-augmented Reasoning and Prompting for Fact-Checking, Delvin Ce Zhang, Dongwon Lee, Annual Conf. of the Nations of the Americas Chapter of the Asso. for Computational Linguistics (NAACL), Albuquerque, NM, April 2025
- “Fact-Checking” Fact Checkers: A Data-Driven Approach, Sian Lee, Aiping Xiong, Haeseung Seo, Dongwon Lee, Harvard Kennedy School (HKS) Misinformation Review, 4(5), October 2023