How a Health Nonprofit Cut Misinfo Detection to 30 Min

A reproductive-health non-profit's team hand-monitored social misinformation, taking up to four days while false narratives spread. An AI platform now transcribes and checks claims automatically — detection in 30 minutes.

99%

Cut detection from 4 days to 30 min

2–4 months

Implementation Time

Jay Singh

CEO & Founder

Casper Studios

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The Challenge

A leading reproductive-health non-profit relied on manual misinformation monitoring that took up to four days. Staff reviewed social posts by hand, letting false narratives gain traction before any response — undermining public trust in a high-stakes domain.

What They Built

Casper built an AI media-intelligence platform that automates collection, transcription and analysis: it scans high-traffic platforms (e.g. TikTok), transcribes videos, and compares claims against verified databases to flag misinformation. A simple review interface lets staff publish counter-messaging quickly.

Casper automated the parts that made manual monitoring slow. The platform continuously scans high-traffic social platforms like TikTok, transcribes video content, and runs the resulting claims against verified databases to flag likely misinformation. Rather than fully automate the response, it routes flagged items to a simple staff review interface where the comms team can verify and publish counter-messaging fast. That compressed a process that had taken up to four days into roughly 30 minutes — a 99% reduction — letting the non-profit get ahead of false narratives before they spread.

AI Role

AI does the slow part of monitoring. The platform continuously scans high-traffic social feeds, transcribes video, and matches the resulting claims against verified databases to flag likely misinformation — then routes flagged items to a staff review interface rather than auto-responding.

Infrastructure

Integration Points

Ingests from high-traffic social platforms (e.g. TikTok); video transcription feeds claim-matching against verified databases; flagged items route to a staff review/counter-messaging interface.

Impact

99% Faster Detection

From up to 4 days to ~30 minutes.

4 Days to 30 Min

Misinformation surfaced before it spreads.

Automated Claim Checks

Video transcription + claim-matching against verified databases.

Technology Utilized

Implementation Complexity

Time Savings

Risk & Compliance

Best Fit For

Non-profits, public-health bodies and comms teams that must detect and counter social misinformation fast, where manual monitoring can't keep pace with how quickly false narratives spread.

Jay Singh

CEO & Founder

Casper Studios

CEO and co-founder of Casper Studios, a product studio helping companies design, build, and integrate AI-powered products.

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Industry:

Non-Profit & Social Impact

Business Function:

Marketing

Operations

Company Size:

Project Cost:

Cost not disclosed

Ownership:

Organization Type:

AI Pattern:

Natural Language Processing

Data Synthesis & Reporting

Value Type:

Time Savings

Risk & Compliance

AI Model:

Frequently Asked Questions

How did a non-profit cut social misinformation detection from days to 30 minutes?

The experts built an AI media-intelligence platform that continuously scans high-traffic social platforms like TikTok, transcribes video content, and runs the resulting claims against verified databases to flag likely misinformation. Rather than fully automate the response, it routes flagged items to a simple staff review interface where the comms team can verify and publish counter-messaging fast. That compressed a process that had taken up to four days into roughly 30 minutes.

What AI approach powered the misinformation detection platform?

The work combined natural language processing with data synthesis and reporting. The platform automates collection, video transcription, and claim-matching — comparing transcribed claims against verified databases to flag misinformation — then hands flagged items to staff for review.

What results did the non-profit achieve?

Detection time dropped from up to four days to about 30 minutes — a 99% faster turnaround — with automated video transcription and claim-checking against verified databases letting the team surface misinformation before it spread.

How long did the misinformation detection project take?

The engagement ran about two to four months to build and deploy the media-intelligence platform.

Who is this approach best for?

Non-profits, public-health bodies, and comms teams that must detect and counter social misinformation fast, where manual monitoring can't keep pace with how quickly false narratives spread.