Read across sources. See the bias. Decide for yourself.
rit-media is an India-focused platform that aggregates coverage of the same story from national, state, city, and district-level sources, then classifies, compares, and analyzes that coverage for bias and transparency. It does not tell users what to think — it helps them read between the lines and make an informed decision for themselves.
Story aggregation and analysis
Collects reports on the same event, extracts the common facts, and turns them into a cleaner view.
Source comparison
- • What multiple outlets agree on
- • Where the coverage differs
- • Which sources add missing context
Bias and transparency
- • Bias and framing signals
- • Ownership and source context
- • Single-source vs multi-source reporting
rit-media shows the reporting, the differences, and the signals between the lines — so users can decide for themselves what feels true and trustworthy.
Aggregates the same story across sources
Pulls coverage of the same event from national publishers, state-level outlets, city reporting, and smaller regional sources that usually get less visibility.
Classifies and analyzes the coverage
Groups related reports, extracts the key facts, and analyzes tone, framing, and source patterns to surface useful transparency signals.
Presents the comparison clearly
Shows source differences, bias indicators, and reporting gaps in a simple format so readers can make informed decisions on their own.
More transparent than just headlines.
Most products stop at showing the news. rit-media is designed to aggregate, classify, compare, and analyze how the same story is reported — then present that transparency back to the reader. The goal is not to declare what is right or wrong, but to give people enough context to judge for themselves.
Interested in a platform like this?
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