Misinformation Detection

Stop False Narratives Before They Spread

Awshar AI monitors 500+ sources in real time - across 20+ Indian languages - to detect, trace, and alert you to false information targeting your brand the moment it appears.

Misinformation detection dashboard showing flagged claims and spread velocity

500+

Data Sources Monitored

20+

Indian Languages

<2min

Detection Latency

98%

Detection Accuracy

How It Works

Stop false narratives before they spread

Three-stage pipeline - ingest, analyse, alert - so your team responds before the narrative takes hold.

01

Monitor Claim Propagation

Awshar AI tracks how specific claims, narratives, and stories spread across platforms - identifying origin points and velocity patterns that indicate coordinated amplification.

02

AI Flags Suspicious Content

Our models cross-reference claims against verified sources, flag accounts with bot-like amplification patterns, and score each detected item by spread risk and credibility.

03

Alert and Respond

Your team receives prioritised alerts with full context - the claim, its source, current spread velocity, and recommended response steps - so you can act before it goes viral.

Capabilities

Everything you need to fight misinformation

Purpose-built for India's complex, multilingual information landscape.

Real-time Claim Detection

Automatically flags unverified claims and suspicious narratives the moment they appear across platforms.

Narrative Spread Tracking

Trace how false information propagates across networks - from origin to viral reach - in real time.

20+ Language Support

Detect misinformation in Hindi, Tamil, Bengali, Marathi, Hinglish and 16+ more Indian languages and dialects.

Source Credibility Scoring

Every source is scored for credibility using historical accuracy, domain trust, and behavioral signals.

Bot & Coordinated Activity Detection

Identify inauthentic amplification - bots, sock puppets, and coordinated inauthentic behavior - driving false narratives.

Instant Alerts

Get notified the moment a misinformation campaign targeting your brand or topic is detected - before it goes viral.

Use Cases

Who relies on Misinformation Detection

From brand teams to governments - see how organisations use this to protect their narrative.

Brand & Comms Teams

Catch false product claims, fabricated quotes, or manipulated screenshots about your brand before they spread across platforms.

Government & Public Sector

Monitor health, civic, and policy misinformation across regional languages and act through official channels before narratives solidify.

News & Media Organisations

Verify viral claims and content circulating about your coverage before publishing responses or corrections.

FAQ

Common questions about Misinformation Detection

How does Awshar AI detect misinformation?

We use a combination of claim-matching against verified databases, source credibility scoring, bot-amplification pattern detection, and cross-platform spread velocity analysis to surface high-risk content.

Which platforms are covered?

We monitor Twitter/X, Facebook, Instagram, YouTube, WhatsApp public groups, Telegram channels, and 300+ news and blog sources - including regional language platforms.

How quickly are alerts triggered?

Most high-risk content triggers an alert within 2 minutes of detection. For coordinated campaigns, we surface the pattern within 10-15 minutes of the first amplification signal.

Can it detect misinformation in Indian languages?

Yes. Our detection models work across 20+ Indian languages including Hindi, Tamil, Telugu, and Hinglish - where a significant amount of regional misinformation originates.

Ready to protect your brand from misinformation?

Join organisations using Awshar AI to monitor, detect, and respond to false narratives in real time.

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