What content-governance duties apply to a community posting platform?
A posting community needs a continuing loop of account rules, risk-tiered publication, recommendation controls, reporting, evidenced action, appeal, and governance review, with enough trained people to operate it. Not every post requires mandatory prior review, and installing keywords or a moderation API does not complete the duty. Higher-risk content, accounts, and distribution need stronger checks, and known illegal or harmful information must be handled under applicable rules.
Governance covers usernames, avatars, biographies, images, video, comments, private messages, topics, groups, links, rankings, and search suggestions—not only post text. An ordinary post can become harmful when promoted or used for coordinated abuse. Preserve versions from creation and edit through distribution and action rather than only the current text.
When translating compliance duties into evidence and controls, also compare What governance duties apply to a platform where users can post and transact? and What compliance support can a software development provider deliver?; the linked guidance adds context that should be considered in the same decision.
| Stage | Risk | Product and operating controls | Evidence |
|---|---|---|---|
| Registration and profile | Impersonation, false credentials, ban evasion | Account rules, necessary checks, linked actions | Basis, rule version, action history |
| Posting and editing | Illegal, harmful, infringing, deceptive, or sensitive material | Warning, machine triage, human review, versions | Original, trigger, decision |
| Comments, messages, groups | Harassment, solicitation, coordinated abuse | Rate limits, reports, anti-harassment, group controls | Context and action timeline |
| Recommendation, trends, search | Amplification, addiction, manipulation | Policy versions, cooling, human intervention, choice | Traffic source and adjustment record |
| Reports and appeals | Malicious reports, missed harm, wrongful bans | Category, priority, conflict controls, escalation, appeal | Operator, times, result, reversal reason |
| Minors | Unsuitable content, inducement, privacy | Age-appropriate experience, guardianship, restrictions | Assessment, configuration, complaints |
Review intensity follows subject and distribution risk. One medical scam or pile-on can be serious even in a small community, while a large service cannot manually pre-read everything. Define prohibited, restricted, and allowed content, then tier by subject, account, velocity, audience, and history. Review explicit high-risk classes before release where appropriate; use sampling, reports, and distribution-anomaly monitoring after release for ordinary content. Low-confidence or high-impact machine results go to people.
China's content ecosystem provisions require governance mechanisms and user rules. The Internet User Account Information Provisions address identity information, account checks, content security, incident response, and privacy. “Backend real name” must follow the applicable requirement and necessity; it does not mean every community should collect ID photos or faces.
Reporting, action, and appeal form one evidence chain. Let users identify the object, reason, and context. Prioritize threats, fraud, minors, and rapidly spreading abuse. Reviewers see the relevant rule and context with sensitive data masked. Give affected users an understandable reason and appeal; a separate or higher-authority reviewer restores wrongfully removed content and records why the model or rule failed.
Use statutory or public service deadlines where they apply, rather than promising every report receives the same 24-hour or seven-day response. Set risk-based service targets and retention. Evidence retention still needs minimization, access control, and deletion, with separately justified litigation or authority holds.
Recommendation changes impact. Version objectives and signals, watch sudden interaction, coordinated attack, artificial traffic, and complaint spikes, and permit human de-amplification during major events. Implement relevant controls over personalization and labels for AI-generated content according to the actual service role. Do not label all copied user text as platform-generated.
Minor protection extends beyond a “youth mode” switch to age suitability, stranger contact, night interaction, spending, tipping, location, and profile exposure. China's Cyber Violence Information Governance Provisions are relevant to forums, groups, abnormal accounts, and pile-ons.
Acceptance uses ambiguous insults, quotation and criticism, impersonation, malicious reports, edits that become violations, privacy screenshots, coordinated attack, and wrongful-ban appeals. Report misses, false positives, backlog, duplicate reports, action time, appeal reversal, and repeat abuse per risk class—not one overall accuracy number.
Wavesteam can build accounts, moderation workspaces, rule and model orchestration, reports, appeals, recommendation intervention, and evidence logs, and rehearse them with the client. The client appoints a content owner and operating team. Without on-call and escalation capacity, Wavesteam recommends invitation-only access, removal of high-risk features, or delayed public launch rather than presenting AI moderation as a substitute for platform governance.