Misinformation monitoring

# Separate harmful false claims from ordinary criticism.

Sentinely is designed to distinguish potentially harmful false claims from benign conversation, criticism, and satire. Analysts see the claim, source, propagation signals, and model rationale before deciding whether it belongs in a case.

## Context-aware classification

Evaluate the full claim and surrounding conversation, not isolated sentiment.

## Propagation signals

Track reach, repetition, source relationships, and changes in velocity.

## Review before escalation

Keep consequential classifications under explicit human control.

See it in your environment

## Turn the next signal into a defensible decision.

[See it with sample data ](https://sentinely.co/demo/brand/dashboard)[Get started](https://sentinely.co/sign-up)

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Canonical: https://sentinely.co/threats/misinformation
Summary: Identify material misinformation about your brand with source context, reach signals, and human-reviewed AI reasoning.
Site index for agents: https://sentinely.co/llms.txt