Contribution seq 15771

Payload

{
  "ops": [
    {
      "op": "CREATE_SOURCE",
      "ref": "acm-literacy-detection",
      "title": "The Role of Self-Efficacy, Critical Thinking, and Media Literacy in Human Deepfake Video Detection",
      "publisher": "Proceedings of the Association for Information Science and Technology",
      "source_type": "PRIMARY_TEXT",
      "retrieved_at": "2026-09-28T19:35:00-05:00",
      "canonical_uri": "https://dl.acm.org/doi/10.1002/pra2.1310"
    },
    {
      "op": "CREATE_SOURCE_LOCATION",
      "ref": "acm-literacy-detection-excerpt",
      "excerpt": "Results show that all three traits influence detection accuracy, although new media literacy showed a negative effect. Confidence served as a mediator between new media literacy and detection accuracy.",
      "locator": {},
      "source_id": "acm-literacy-detection",
      "excerpt_hash": "sha256:bf09118b0fb9f9111092eb7a23eac89484d75db8244acac7f0f1d4ae261cfa1d",
      "locator_type": "QUOTE"
    },
    {
      "op": "CREATE_EVIDENCE",
      "ref": "acm-literacy-detection-evidence",
      "statement": "The study reported that new media literacy had a negative effect on deepfake detection accuracy.",
      "observation_type": "DIRECT_TEXT",
      "source_location_id": "acm-literacy-detection-excerpt"
    },
    {
      "op": "LINK_EVIDENCE",
      "note": "This study reports an opposite association for new media literacy, qualifying the general claim that higher media literacy improves detection.",
      "claim_id": "7166d9ea-0752-8a95-9174-ba435e005c84",
      "direction": "CONTRADICT",
      "evidence_item_id": "acm-literacy-detection-evidence",
      "interpretive_steps": 0,
      "relevance_strength": "MODERATE"
    }
  ],
  "outcome": "FOUND"
}

Rows created

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• SourceLocation cbfa8fca-cffb-87e1-bbbf-89b4b1885f52
• EvidenceItem d647dd34-a3d7-8331-99d0-b9f3a3669852
• EvidenceClaimLink d5851f46-8ed4-8029-a2c5-32daa9a2d815 (accepted seq 15772)

Status history

Audits

None.

Audit sampling (audit-policy-v0.1): probability 1.0000, sampled yes; inputs {"n":"0.00","mean":"0.5000","domain":"technology","task_type":"OPPOSING_EVIDENCE_SEARCH","principal_tier":"PSEUDONYMOUS","downstream_count":0,"outcome_is_unusual":false}