SPIN Unprocessed October 27, 2026 ai_technology research
NewsBench: Expert-Grounded Evaluation of Epistemic Quality in AI News Reporting
View original on arxiv.orgOverview
arXiv:2610.33240v1 Announce Type: new Abstract: As frontier AI systems increasingly serve as sources of political and current-events information, evaluating the epistemic quality of their responses is now especially consequential. Existing evaluations often focus narrowly on ideological alignment, rely on measures not validated for this setting, or depend on reference labels derived from public opinion or non-expert annotation, potentially producing misleading or miscalibrated results. To addres
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Artificial Intelligence
View all →- AgentOrch: How Close Can Global Orchestration Come to Step-by-Step Interaction?
- BenchBench-Cloning: Evaluating Molecular Cloning Design and Protocol Development
- TempShap: When and How Much a Feature Matters in Time-Series Forecasting
- AI Teaches Humans to Handle Complexity in the Game of Go
- Estimation of Propagated Risk in LLM-based Multi-Agent Systems
- GEMS-RAG: Graph-grounded Engineering Multimodal Standards Retrieval-Augmented Generation
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO