Author ORCID Identifier
0000-0002-0784-7509
Document Type
Dissertation
Date of Award
5-31-2025
Degree Name
Doctor of Philosophy in Information Systems - (Ph.D.)
Department
Informatics
First Advisor
Yi-Fang Brook Wu
Second Advisor
Mark Cartwright
Third Advisor
Amy K. Hoover
Fourth Advisor
Hai Nhat Phan
Fifth Advisor
Xinyue Ye
Abstract
The spread of misinformation and disinformation has become a major concern, particularly with the rise of social media as a primary source of information for many people. Fact-checking—the process of verifying claims against credible evidence—has emerged as a critical safeguard against misinformation. Yet, the task is fraught with challenges: claims are often ambiguous, context-dependent, or composed of multiple intertwined assertions, while automated systems struggle to replicate the nuanced reasoning of human experts. This dissertation addresses these challenges by reimagining fact-checking as a multi-step, knowledge-guided process that systematically resolves ambiguity, decomposes complexity, and validates claims through structured reasoning. Additionally, the proposed frameworks integrate information retrieval and augmentation techniques to enhance claim verification. Information retrieval is employed to retrieve evidence from web sources, fact-checking databases, and structured knowledge graphs, ensuring comprehensive verification. Information augmentation leverage the retrieved evidence to provide contextual understanding, refine claim representations, and facilitate reasoning over retrieved information. Experimental results on multiple fact-checking datasets demonstrate that the proposed frameworks significantly improve accuracy compared to existing methods. This work contributes to the development of more scalable, interpretable, and context-aware fact-checking systems. A human-in-the-loop mechanism further enhances system reliability by handling ambiguous or unverifiable claims.
Recommended Citation
Wang, Wenbo, "Fact-checking as a multi-step process: from ambiguity resolution to claim validation" (2025). Dissertations. 1840.
https://digitalcommons.njit.edu/dissertations/1840
Included in
Computational Linguistics Commons, Databases and Information Systems Commons, Library and Information Science Commons, Semantics and Pragmatics Commons
