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Industry profile · Policy

China AI-generated Content Labeling Rules

For short drama, the central effect of China's synthetic-content labeling measures is to move disclosure from page copy into asset and file layers. Teams can handle explicit and implicit labels at release—and identify affected versions after a re-edit or correction—only if generation source, tool version, human modification and shot use are retained during production.

Open official entryExport profile fields
Profile status
Deep dossier
Field coverage
12/12 required fields covered
Region
China
Sources and update
1 sources · Aug 12, 2026

60-second briefing

Facts, context and limits
What it is

A Chinese cyberspace-authority regime for explicit and implicit labeling of AI-generated and synthetic content.

Why it matters

Short drama mixes generated image, voice, subtitles and human post, making asset-level evidence necessary rather than last-minute judgment.

Who it serves

Production, post, platform operations, legal/compliance, tooling and content-system owners.

Known limits

This dossier is an editorial guide, not legal advice, platform implementation rules, enforcement interpretation or a project-specific conclusion.

Reader lens · Production lens

Production

Record generation source, tool version, human modification and shot use at intake rather than leaving evidence collection to delivery; every handoff carries status and unknowns.

01

Editorial view

Disclosure capability starts at asset intake, not upload

An AI short drama can combine generated character art, video-model shots, synthetic voice, automatic subtitles and human editing. If the team asks only at final export where AI was used, a reliable answer may be impossible: assets may be renamed, nested, graded, composited or split across versions while generation information has detached from the timeline.

Asset intake records source, tool, version, prompt or reference, generation time, human modification, rights and shot use. That ledger supports explicit labels, embedded information, platform declarations and later correction from one factual base. Untraceable assets enter quarantine rather than pass because they look human-made.

02

Editorial view

Responsibility cannot be handed only to legal or publishing

Model operators know generation, editors know assembly, post knows file packaging, operations knows platform entry points and legal interprets applicable requirements. If one step is absent, disclosure becomes guesswork; no role can reconstruct facts that others failed to record.

The project matrix identifies who records, reviews, approves, publishes and corrects. Public labels and file-layer information derive from one asset inventory but are executed by different roles. Every handoff carries status and unknowns so the absence of an objection is not mistaken for approval.

03

How to use it

Run a versioned disclosure audit before release

After picture lock, match every used shot to the asset ledger and check explicit labels, file or metadata information, platform declarations and page copy. The audit object is a specific master, not a project name; Chinese, English, platform edits and compilations may use different assets and cannot share a vague receipt.

The review stores source version, date, master hash, owner, unresolved items and publish receipt. Re-editing, voice replacement or asset substitution reopens affected checks and creates a revision. Old receipts do not cover new versions or silently rewrite published fact.

Type-specific profile data

Fields and observation dates
Change log
Create a revision for changes to policy text, implementation or platform execution, preserving prior impact scopeSources checked · 2026-08-12
Effective/update date
Use publication, effective and later revision dates stated in the official text; recheck at project start and releaseSources checked · 2026-08-12
Implementation boundary
A project still requires analysis of current text, platform and content form; this dossier cannot issue an automatic compliance conclusion.Sources checked · 2026-08-12
Issuer
Cyberspace Administration of China.Sources checked · 2026-08-12
Jurisdiction
China; precise scope follows the official textSources checked · 2026-08-12
Regulatory object
The official text addresses explicit and implicit labels for AI-generated and synthetic content.Sources checked · 2026-08-12
Organization
"Cyberspace Administration of China"Sources checked · 2026-08-12
Original text
Official text is registered as src-cac-aigc-label; editorial summary does not replace the provisionsSources checked · 2026-08-12
Region
"China"Sources checked · 2026-08-12
Subjects
Services, content and responsible parties related to AI-generated and synthetic content; exact subjects follow the sourceSources checked · 2026-08-12
Resource type
"政策法规与平台规则"Sources checked · 2026-08-12

Product, capability and profile timeline

Dated version changes
  1. Confirmed

    Rechecked the official labeling measures and updated project-level execution boundaries

  2. Confirmed

    The official page publishes measures for labeling AI-generated and synthetic content

In-profile learning path

From inputs to accepted delivery
  1. 01

    Map synthetic steps

    Input
    Script, image, video, voice, subtitles and post workflow
    Output
    Synthetic and human processing map
    Gate
    Every step has an owner and source
  2. 02

    Build an asset ledger

    Input
    Source, tool, version, time, modification and rights
    Output
    Per-asset evidence record
    Gate
    Every used asset is traceable
  3. 03

    Audit the locked master

    Input
    Master, asset mapping and current source
    Output
    Explicit/implicit label checks and receipt
    Gate
    Unknown or conflicting items are quarantined
  4. 04

    Manage revisions

    Input
    Re-edit, voice replacement, asset swap or rule update
    Output
    Affected-master re-review record
    Gate
    Old receipts do not cover new versions

Limits, analysis and unknowns

Known, interpreted and unknown

Known limits

  • Synthetic content can exist across image, sound, subtitles and file-information layers.
  • An editorial summary cannot replace the official text or project-specific analysis.

Editorial analysis

  • An asset-level provenance ledger is the common foundation for disclosure and later correction.
  • Concentrating responsibility in publishing operations causes evidence loss during production.

Still unknown

  • The dossier cannot determine final application or treatment for a specific project, platform, format or edge case.

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