Deepfake Detection

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  "title": "Deepfake Detection",
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  "dateCreated": "2026-02-15",
  "llmSummary": "Comprehensive analysis of deepfake detection showing best commercial detectors achieve 78-87% in-the-wild accuracy vs 96%+ in controlled settings, with Deepfake-Eval-2024 benchmark revealing 45-50% performance drops on real-world content. Human detection averages 55.5% (meta-analysis of 56 papers). Market size \\$114M-1.5B (2024) growing at 35-48% CAGR. DARPA SemaFor concluded 2024; C2PA content authentication becoming ISO standard 2025. Detection lags generation by 6-18 months, making complementary authentication and literacy approaches essential.",
  "description": "Technical detection of AI-generated synthetic media faces fundamental limitations, with best commercial systems achieving 78-87% in-the-wild accuracy (vs 96%+ in controlled settings) and human detection averaging only 55.5% across 56 studies. Deepfake fraud attempts increased 3,000% in 2023, demonstrating that detection alone is insufficient and requires complementary C2PA content authentication and media literacy approaches.",
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      "text": "55.5%",
      "url": "https://www.sciencedirect.com/science/article/pii/S2451958824001714",
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      "text": "\\$500K average per incident",
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      "text": "average cost of \\$500,000 per incident",
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