Worldwide synthetic newsroom

Build a news caster for any place, audience, and point of view—without changing the evidence standard.

Create fictional, clearly disclosed AI presenters for every country and area in the catalog. Choose the newsroom role, language context, delivery style, age, identity, political background, belief tradition, and correction practice independently.

All-ages page. Every generated caster is a fictional adult professional. Sexual and romantic orientation are optional, non-explicit identity fields. No real journalist, broadcaster, voice, likeness, or newsroom affiliation may be impersonated.

250countries and areas
2,500equal-coverage starters
15newsroom roles
100belief traditions
21political backgrounds
12bounded high-risk review fixtures

Equal coverage, independent choices

Country is a coverage focus—not a shortcut to identity.

Every country and area receives the same ten starter desks. Geography never auto-assigns citizenship, ethnicity, religion, politics, gender, sexual orientation, temperament, accent, loyalty, or competence. Sensitive fields stay unspecified until you choose them.

Review the international methodology

News caster studio

Compose the newsroom first. Add identity only where it belongs.

The studio runs in your browser. Default and starter profiles do not randomize sensitive attributes. Use the separate “Randomize all chosen dimensions” control only when you deliberately want broad identity and worldview variation.

1. Desk, geography, and audienceDefine what this caster covers and how the broadcast works.
Coverage beats choose up to five
2. Self-described identityOptional, non-explicit characterization. Nothing here is inferred from country or appearance.
3. Political and belief backgroundOptional perspective metadata; never a substitute for evidence.

Political background

Belief or philosophical tradition

Perspective disclosure, not ideological scoring. These choices may influence which ethical tensions or audience questions the fictional caster names. They may not change source scrutiny, claim status, correction behavior, or treatment of evidence that challenges the caster’s own background.
4. Editorial and safety contractNon-negotiable rules carried into every generated prompt.
Always disclosed as synthetic

The presenter and generated script must be identified as AI-created. Controller identity is never hidden.

No real-person imitation

No real broadcaster’s name, likeness, voice, credentials, signature phrasing, or newsroom affiliation may be copied.

Layered attribution

Accuracy, coordination, actor identity, sponsorship, intent, reach, and effect remain separate proof questions.

Visible corrections

Live updates are timestamped; corrections identify what changed, why, and which earlier wording was too strong.

No identity inference

Country, appearance, name, accent, belief, politics, gender, and orientation cannot be used as proxies for one another.

No manipulative targeting

No covert persuasion, voter suppression, discriminatory targeting, doxxing, private-person identification, or operational cyber guidance.

“Randomize newsroom only” never changes gender, pronouns, orientation, politics, or belief. The broader control runs only after your explicit click.

Multilingual editorial review lab

Inspect script direction, pronunciation boundaries, translated claim status, and correction prominence.

These 27 fixtures span 18 script families, including right-to-left layouts. They are package-local characterization fixtures—not human translation, pronunciation, or publication acceptance.

Fixture preview

English

English · United States · Latin · LTR

Latin LTR fixture only
Country context
United States
Language tag
en-US
Translation status
machine-drafted-requires-qualified-linguistic-review
Starter coverage
10 equal starter desks; language not auto-assigned

Pronunciation and transliteration

Keep the original spelling first. Add pronunciation only from the named person, a qualified language reviewer, or a documented pronunciation source; never infer accent or pronunciation from country, appearance, name shape, belief, or identity.

English

Translated attribution labels

Localized labels must preserve the same evidentiary rung. Translation cannot upgrade a claim.

Correction

· Updated

Earlier wording: The service was restored.

Revised wording: The source says the service was restored; independent corroboration is still pending.

Why: The earlier wording presented a source claim as established fact.

Qualified human review workflow

Move high-risk multilingual output from fixture status to publication only through signed, issue-level evidence.

The bounded cohort covers directionality, shaping, transliteration, pronunciation, local context, and high-consequence terminology risk. It does not rank people or languages. This package includes workflow, schemas, draft templates, and typography tokens; it includes zero signed records and zero accepted publication records.

12bounded fixtures
0signed trusted records
0accepted publication records
18script typography tokens

1. Choose a bounded fixture

Review risk is explicit and inspectable.

Arabic · Egypt · Arabic · RTL

Status: awaiting-signed-qualified-review

Review risks:

  • bidirectional layout
  • Arabic shaping
  • pronunciation source required
  • conflict and legal terminology risk

Required roles: qualified language reviewer, news editor

2. Follow all eight gates

Review is a traceable state transition, not a checkbox.

  1. Scope the exact fixture and intended usefixture ID · language tag · country context · story format · audience · review date
  2. Bind qualified reviewer identity and roleorganization-local reviewer ID · display name or approved pseudonym · role · qualifications · language tags · conflict declaration
  3. Attach source-backed pronunciation and terminology evidenceattachment SHA-256 · source type · rights status · speaker consent status when applicable · language tag · storage reference
  4. Resolve issue-level dispositionscategory · severity · description · status · disposition · evidence references · reviewer note
  5. Review language-specific typography tokensscript token · direction · line height · word breaking · overflow · diacritic policy · exceptions
  6. Record revision and supersession historyrevision number · supersedes record ID when applicable · change summary · prior decision preservation
  7. Create and independently verify a detached signaturecanonical payload SHA-256 · signature algorithm · key ID · signature bytes · verification status · verification timestamp
  8. Evaluate publication acceptanceno unresolved blocking issues · required sources present · verified signature · explicit publication decision · conditions and expiry

3. Complete the evidence record

Reviewer identity, source attachments, issue dispositions, supersession, and signature all remain visible.

Open validation API

Ready. No human review, verified signature, or publication acceptance exists in this package.

2,500 equal-coverage starting points

Ten newsroom blueprints for every country and area.

Browse public-service, breaking, community, accountability, world, policy, economy, science and health, digital-rights, and verification desks. Every starter leaves sensitive identity and worldview fields unspecified.

Loading 2,500 starter profiles…

Why the library is large

Representation is compositional, not a fixed list of stereotypes.

The named controls alone provide 814607901499392000000000 possible combinations before language choices, beat combinations, custom text, names, and local context are counted. The point is not to claim every person can be reduced to fields; it is to prevent one narrow “global anchor” archetype from standing in for everyone.

Evidence before performance

A compelling voice cannot promote a claim beyond its proof.

The prompt keeps source reliability, claim status, confidence, and probability separate. Repeated coverage derived from one origin is one source chain, and actor-controlled statements remain attributed claims until independently corroborated.

Human review still matters

Language, pronunciation, law, and local context need qualified review.

Country and language records are editable context, not proof of individual identity or fluency. Publication involving a real place, minority community, election, crisis, or legal allegation should receive current source checking and appropriate local, linguistic, legal, and editorial review.

Developer access: retrieve the catalog, page through all 2,500 starters, inspect multilingual fixtures, validate qualified-review records, or build a deterministic profile through GET or a bounded 32 KiB deterministic-idempotency POST at /api/v1/news-casters/. Schemas: /schemas/news-caster-profile-v1.schema.json, /schemas/news-caster-profile-request-v1.schema.json, and /schemas/news-caster-qualified-review-record-v1.schema.json.
Open the API

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