Civic / Privacy / Digital Rights
Execution roadmap: make participation the organizing system
Report summary
Cognitive liberty is the right to hear and be heard. Every workstream needs a participant action, an original-source route, an accountability mechanism, and a measurable contribution outcome.
Key topics
- Civic / Privacy / Digital Rights
- Civic
- Privacy
- Digital Rights
- AI
- Cognitive Liberty
- Research Archive
- Strategy
- Audit
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Operational integration document — 12 October 2026
Cognitive liberty is the right to hear and be heard. Every workstream needs a participant action, an original-source route, an accountability mechanism, and a measurable contribution outcome.
| Period | Site and editorial deliverables | Community and research work | Evaluation gate |
|---|---|---|---|
| Days 1–30 | New homepage invitation; contributor landing page; accessible source index; evidence-type labels; public changelog | Recruit ten pilot contributors with genuinely different areas of expertise; publish 10 original perspectives with critical links | First-time author completion rate; original-source link health; accessibility issues |
| Days 31–90 | Open submission and review flow; author profiles; RSS; editorial appeals; public discovery clinic | Launch 3 two-sided debate dossiers, one 120-query inquiry benchmark, and the first monthly citation/visibility audit | Contributor retention; source diversity; appeal resolution; indexing diagnostic outcomes |
| Days 91–180 | Multilingual workflows; searchable research graph; voluntary reuse terms; cross-site publisher federation pilot | Publish 50 cumulative original works, 20 translated/annotated pieces, 10 cross-viewpoint exchanges | Representation audit with denominators; documented corrections; independent source referrals |
| Days 181–365 | Contributor-governed commons pilot; AI source navigator; public data and correction portal | Establish independent review council, repeated AI-pluralism benchmark, annual source-diversity report | Year-on-year genuine author participation, discovery coverage, validated appeals and source accuracy |
Planning targets are proposals, not observations or promises. Budget ranges must be estimated separately after selecting technology, staffing, volunteer support, accessibility work and legal review. The previously supplied documents contain conflicting assertions about the existence or status of organizational entities and site deployments; do not commit funds or publish legal claims until authority and dependencies are verified.
New first-90-day charter delivery stream
Unfiltered source access (days 1–30): Publish a visible 'Explore Broadly' original-source directory with query and filter disclosures. Define an evidence-labeled corpus of lawful historical, philosophical and technical debate so readers can compare without hidden viewpoint narrowing. Log meaningful safety limitations by category.
No silent filtering (days 31–60): Launch an intake for alleged discoverability problems with crawled/indexed/ranked/policy/AI-citation statuses. Publish appeal criteria, aggregate outcomes and reproducible benchmark methods, including disproven shadowban assertions.
Representation in AI learning (days 61–90): Publish an affirmative contributor invitation, a machine-readable catalog of authorized training-eligible works, a rights-aware license guide, and a measurable multilingual/minority-viewpoint benchmark for AI systems. Seek developer and researcher partners willing to evaluate or use eligible contributions; do not claim their adoption before verifying it.
Program principle: The project advocates for people to be included in humanity's developing knowledge base and AI future, not a mass effort to withhold contributions from learning systems.
Editorial publication acceptance criteria
A page goes live when it has: (1) a clear original claim or research question; (2) identifiable and accessible primary sources where possible; (3) claim labels distinguishing fact, opinion, experience and hypothesis; (4) stable canonical URL and discoverable internal navigation; (5) relevant counterarguments or stated uncertainty; (6) named editorial responsibility or chosen byline; (7) attribution and reuse terms; (8) working correction and feedback channels; (9) accessibility review; and (10) explicit invitation for good-faith response or contribution.
Algorithmic non-suppression research lab
Use a staged test: HTTP and robots -> crawlability -> indexing -> query match -> ranking -> personalization and policy explanations -> model retrieval/citation. Archive dates, controlled queries, regional differences, version identifiers, and repeat measurements. Classify every allegation: verified policy restriction; documented technical issue; ordinary ranking or insufficient evidence; suspected but unverified viewpoint discrimination; or confirmed differential treatment after matched controls. Report disproved allegations as prominently as supported ones. Proposed transparency and appeal duties must be tailored to jurisdiction and service type.
Definition of an intellectual-diversity win
More people choose to write and correct their ideas; more readers find independently hosted original sources; both popular and unconventional arguments receive accurate descriptions; platforms can explain and review consequential unjustified exclusions; and AI systems can describe relevant minority viewpoints with appropriately calibrated evidence, without faking equal scientific validity.