How a Health Nonprofit Cut Misinfo Detection to 30 Min
99%
2–4 months
Not disclosed
99% Faster Detection
4 Days to 30 Min
Automated Claim Checks
Jay Singh
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.
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.
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.
The engagement ran about two to four months to build and deploy the media-intelligence platform.
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.
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