Papers with end-to-end fact-checking

2 papers
Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine (2026.findings-acl)

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Challenge: Evidence-based medicine connects to every individual, yet the nature of it is highly technical . e-fact-checking systems that connect to medical decisions are largely unused . we examine how clinical experts verify real claims from social media .
Approach: They propose that fact-checking should be approached as an interactive communication problem . they argue that social media and AI have made medical knowledge accessible .
Outcome: The proposed method is based on the work of a clinical expert on social media . it reveals that the method is difficult to connect claims to clinical trials .
Large Language Models Require Curated Context for Reliable Political Fact-Checking—Even with Reasoning and Web Search (2026.findings-acl)

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Challenge: Large language models (LLMs) have raised hopes for automated end-to-end fact-checking, but prior studies report mixed results.
Approach: They evaluate 15 large language models on 6,000 claims fact-checked by PolitiFact . standard models perform poorly, reasoning offers minimal benefits, and web search provides only moderate gains .
Outcome: The models predict claim veracity and a curated RAG system improved macro F1 by 233% on average across model variants.

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