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Audio & Podcast Intelligence

NEW

AI-powered claim extraction from news podcasts and audio sources. Every checkable claim is transcribed, classified, and cross-referenced against WorldPulse's intelligence network in real time.

20
Monitored Podcasts
847.3h
Audio Hours
3,842
Claims Extracted
72%
Avg Confidence
58%
Avg Verification
5
Languages
1,240
Factual
890
Statistical
720
Attribution
410
Causal
320
Predictive
262
Opinion
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Monitored News Podcasts

NPR News Now
NPR
General NewsEN
The Daily
The New York Times
General NewsEN
Global News Podcast
BBC World Service
InternationalEN
The Intelligence
The Economist
AnalysisEN
Hard Fork
The New York Times
TechnologyEN
Planet Money
NPR
EconomicsEN
The Lawfare Podcast
Lawfare
SecurityEN
Science Friday
WNYC
ScienceEN

Verification Status

Verified
1,120 (29%)
Unverified
1,340 (35%)
Disputed
482 (13%)
Mixed
638 (17%)
Opinion
262 (7%)

How It Works

1.Audio from 20+ news podcasts is ingested via RSS feeds
2.Speech-to-text with speaker diarization (Whisper/Deepgram)
3.NLP extracts checkable claims: factual, statistical, causal, predictive
4.Each claim is cross-referenced against WorldPulse signals + trusted sources
5.Claims are scored for confidence and verification, with full speaker attribution

Data Sources & Methodology

Audio content is sourced from 20 monitored news podcast feeds across 5languages, including NPR, BBC World Service, The New York Times, The Economist, Al Jazeera, Bloomberg, and RFI. Transcription uses Whisper and Deepgram APIs with speaker diarization. Claim extraction employs pattern-based NLP tuned for spoken language (filler removal, sentence fragment handling). Verification cross-references against WorldPulse's signal database and trusted source network. Audio/podcast intelligence is updated in near-real-time as new episodes are published.

WorldPulse Pro — Audio Intelligence API

Access real-time podcast claim extraction, full transcript search, speaker analytics, and webhook notifications for disputed claims via the WorldPulse API.