MEDIAREF: A Public Knowledge Store for Media Background Checks
LLM-based retrieval-augmented generation (RAG) is increasingly used for automated fact-checking (AFC) and related tasks. By grounding LLM outputs in retrieved evidence, RAG-based systems provide transparent justifications while allowing external information to be updated independently of the underlying model. However, existing approaches often assume retrieved evidence is reliable, although real-world information may be conflicting, outdated, and can originate from unreliable or biased sources. Recent work on *source-critical reasoning* addresses this challenge through media background checks (MBCs) (Schlichtkrull, 2024), which assess the credibility of evidence sources to support downstr...
| Authors | Benjamin Nichols, Michael Schlichtkrull, Nedjma Ousidhoum |
|---|---|
| Primary category | cs.CL |
| Published | 2 July 2026 |
| Last updated at source | 30 July 2026 |
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