AI-Driven Trust Decline

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  "title": "AI-Driven Trust Decline",
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  "dateCreated": "2026-02-15",
  "summary": "US government trust declined from 73% (1958) to 17% (2025), with AI deepfakes projected to reach 8M by 2025 accelerating erosion through the 'liar's dividend' effect—where synthetic content possibility undermines all evidence. Media literacy interventions show d=0.60 effect size, while C2PA content authentication provides medium-high promise for verification, though adoption rates remain uncertain (10-60% by 2027).",
  "description": "The systematic decline in public confidence in institutions, media, and verification systems—accelerated by AI's capacity to fabricate evidence and exploit epistemic vulnerabilities.",
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      "text": "C2PA standard",
      "url": "https://c2pa.org/",
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      "text": "American Political Science Review (February 2025)",
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      "url": "https://www.brennancenter.org/our-work/research-reports/deepfakes-elections-and-shrinking-liars-dividend",
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      "resourceTitle": "Deepfakes, Elections, and Shrinking the Liar’s Dividend"
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      "text": "Schiff, Schiff & Bueno: The Liar's Dividend (APSR 2025)",
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      "text": "Carnegie Endowment: Can Democracy Survive AI?",
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