Explanation in fact-checking

Explanation in fact-checking refers to methods for making fact-checking decisions interpretable and justifiable to users. Rather than just returning a verdict (true/false/unknown), systems explain which evidence supported the verdict and how they reasoned about it.

Related topics

• Fact-checking and corrections — the context for explanations
• Explainability in misinformation detection — general framework for interpretable AI systems
• Evidence Retrieval — retrieving and ranking evidence for explanations