Media Monitor
Media Monitor by OneThought AI. Brand and topic monitoring across the Indian press, with tone and sources.
Research
Media intelligence
Active
Tracking what the press says across Indian languages, with tone and sources attached, and measuring how often an AI summary drifts from the article it summarises.
The question
Can AI read the news at scale, in many languages, and report what was said, by whom and in what tone, without inventing any of it?
Why it matters
Organisations, journalists and researchers need to know how a topic is covered across hundreds of outlets and several languages. Reading it all by hand is not possible. AI summaries make it possible, and introduce a new risk: a summary that sounds right but misattributes a quote, misreads the tone or merges two stories into one.
Regional-language press is under-served by most tools, which means coverage outside English is the least visible.
Our approach
- Source-linked output. Every mention, quote and tone label links to the article it came from.
- Measured failure modes. We measure missed mentions, wrong tone and invented attribution separately, because each fails differently and matters to different users.
- Language-level results. Accuracy is reported by language, so gaps are visible rather than averaged away.
- Organisations and topics, not people. The research and the product track organisations and public topics. They are not built to monitor private individuals.
Status now
The research informs Media Monitor, which OneThought AI runs for clients. The attribution benchmark is in preparation.
What we have found
Findings will be published with the benchmark.
What comes next
| When | What |
|---|---|
| 2027 | Attribution benchmark for news summaries across Indian languages |
| 2027 | First public-interest coverage report |