Language Properties of Phone Scammers: Cyberdefense At the Level of the Human
summary
Forensic linguistics analyzes a small YouTube corpus of IRS scam calls and finds reproducible interaction markers: frequent polar tag questions (7–33 occurrences per call sample), systematic question deferral (about 15 target questions ignored or postponed), nonstandard pauses and malformed narratives. These contrast with commercial tools like Pindrop or Uptivity; the proposed defense is human-centered: flag clusters of polar tags, then test with a direct question and insist on answers, aiming to fail closed and deploy a zero‑tolerance policy on coercive language.
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chapters (16)
- 0:00Introduction and notes
- 1:15Speaker background
- 3:18Current human security tools
- 5:59IRS scam analysis
- 8:45Voice analysis technology
- 11:14IT security goals
- 12:25Forensic linguistics basics
- 16:02Case study: The devil strip
- 19:45Linguistics in investigations
- 22:53Linguistics versus detection
- 26:02Polar tag questions
- 28:55Topic control and deferral
- 30:33Narrative structure violation
- 32:51Human defense strategies
- 37:33Coercive language study
- 40:15Q&A and conclusion
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