Status: REWRITTEN October 11, 2026. This edition replaces, rather than reproduces, the former privacy-centered report. The original research was retained in the user's earlier ZIP, not in this current canonical archive. Consult revision_history/CORRECTIONS_AND_PROVENANCE.md for the reasons and full source mapping.
Editorial position and scope
Proposed mission: Cognitive liberty means that people can think and inquire freely, seek and receive information, voluntarily share their views and evidence, encounter disagreement, and challenge opaque decisions that prevent lawful information from being found. Access does not equal endorsement: freedom to inspect a claim is compatible with labeling its evidence weak, correcting falsehoods, and applying proportionate lawful restrictions. Individual privacy remains an option and a safeguard, not the central objective or a demand that people stop sharing with knowledge systems.
Status of this document: Independent desk research as of October 11, 2026. It uses public sources and the existing public website. It is not an internal site audit, a measured search-ranking experiment, an inspection of proprietary AI training datasets, or legal advice. Numbered [S##] citations resolve to SOURCES.md.
Revised conclusion
Market concentration is relevant because independent alternatives can improve exit and accountability. Legal limits and search market metrics require dates, jurisdiction and actual evidence rather than universal monopoly rhetoric.
Accountability requires diagnosing pipeline stages, repeatable visibility audits, publisher tools and context-specific appeals. European DSA rules create concrete transparency duties for covered services, but they do not promise all viewpoints equal exposure and do not apply identically worldwide.
Findings and evidence
Finding 1. The EU DSA contains recommender-system transparency provisions, while other obligations differ according to platform category and size. [S13]
Finding 2. The European Commission describes a public DSA transparency database and research data-access channels to facilitate oversight of covered moderation and systemic risks. [S14]
Finding 3. NIST AI RMF provides voluntary guidance for accountable, transparent, valid, reliable AI and for evaluating harms. [S15]
Finding 4. CognitiveLiberties.com currently publishes an evidence ledger and directories, which can support a public, reproducible case register. [S21][S22]
Corrected analysis
A useful audit records discovery pipeline transitions: URL accessible → crawled → indexed → retrieved for test query → ranked → cited → accurately described → clicked. Loss of visibility at one stage has a different remedy from failure at another.
Compare pairs of ideas with similar source quality and wording, across query paraphrases, locations, devices and repeated dates. Pre-register the reference set and allow independent reviewers to challenge the benchmark’s own ideological framing.
When a platform provides no appeal, a third-party reporting system can still publish transparent observations with screenshots, request dates, technical diagnostics, confidence intervals and documented corrections. Do not infer motives from outcomes alone.
Public accountability should aim for notice, explanations, auditing access, due process where appropriate, and meaningful exit via independent links. Disclosure should not require revealing detailed anti-spam rules useful to attackers.
Competition continuity
Assess competition as a combination of distribution defaults, independent indexes, publisher relationships, AI interface selection and alternative access routes. Do not reuse volatile percentage shares without a matching 2026 date, geography and measurement denominator. The EU DSA provides defined transparency duties for certain services; it is not a blanket rule mandating ideological balance in search. The public-interest goal is credible user choice, evidence of differential treatment and procedural accountability, not a predetermined ruling about an actor’s motives. [S13][S14]
Design recommendation
Publish cross-provider source-discovery comparisons and an external-source export before proposing more regulation.
- Develop a public “Why is this source missing?” troubleshooting page.
- Publish a downloadable visibility audit dataset with neutral topic coding and replicable scripts.
- Draft a corrections and challenge process for errors in the project’s own directory.
Proposed validation
- Appeal completion and error-correction rates, where observable.
- True omission against a documented qualified-reference set.
- Inter-reviewer agreement and reproducibility of reported visibility changes.
Limits and caveats
Ordinary relevance ranking, lawful moderation and technical crawling defects must be distinguished from discriminatory exclusion. Many model internals are not public.
Source references
- [S13] Digital Services Act – recommender systems and user transparency — European Union Regulation 2022/2065: https://eur-lex.europa.eu/eli/reg/2022/2065/oj. Relevance: Transparency and platform obligations depend on service classification; not a general equal-ranking law.
- [S14] Digital Services Act transparency database and data access — European Commission: https://digital-strategy.ec.europa.eu/en/policies/dsa-brings-transparency. Relevance: Description of decisions databases and researcher access.
- [S15] AI Risk Management Framework — NIST, 2023: https://www.nist.gov/itl/ai-risk-management-framework. Relevance: Voluntary risk framework: validity, transparency, harms, fairness, contestability.
- [S21] Cognitive Liberty Research Evidence Ledger — CognitiveLiberties.com, observed 2026-10-11: https://cognitiveliberties.com/research-evidence. Relevance: Accessible public evidence ledger; disproves older claim of broken page.
- [S22] Cognitive Liberty Organizations Directory — CognitiveLiberties.com, observed 2026-10-11: https://cognitiveliberties.com/cognitive-liberty-organizations. Relevance: Accessible organizations directory; disproves older claim of broken page.
Continue independent inquiry
Follow the cited primary sources, compare their evidence, and draw your own conclusions. Disagreement is part of discovery—not evidence of wrongdoing.
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