LLM-History Metrics War

Updated: 2025.08.21 6M ago 1 sources
LLMs now convert archival narratives into quantitative indices that will be deployed in modern censorship/moderation fights, shifting evidentiary leverage to AI-built 'data.' Murrell–Grajzl’s LLM-constructed censorship index and ML innovation scores for 1525–1700 show how AI can manufacture authoritative metrics in formerly unquantifiable domains. — Who controls metrics controls narratives; AI-generated historical indices will influence courts, regulators, and media by supplying ostensibly rigorous numbers to justify or resist speech governance and cultural policy.

Sources

Data on the effects of censorship in early modern England
Tyler Cowen 2025.08.21 100% relevant
This article highlights a paper that uses multiple LLMs to build an annual print-censorship index and finds a paradoxical innovation boost in censored themes, providing a ready-made metric with provocative policy implications.
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