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Social chat moderation program

social-chat-moderationDomain: social-safetyType: mixed

Description

Platforms that host user-to-user chat or private messaging (DMs) increasingly carry duty-of-care obligations distinct from public-content moderation: the audience is smaller, the harms (grooming, sextortion, harassment) are higher-velocity, and the privacy framing of 'private message' has been narrowed by regulators when the platform is in a position to detect and act. The control has three pieces: a chat-moderation policy that defines what scanning, classifier matching, or human review applies (with explicit carve-outs for end-to-end encrypted threads), an enforcement workflow that triggers on signal (slurs, CSAM hash match, grooming pattern, threat keywords) with action options ranging from warning to message-block to account suspension to NCMEC referral, and a transparency mechanism (Statement of Reasons under DSA Art 17, takedown ledger for OSA) that makes the enforcement auditable. For platforms with under-13 or under-18 user segments, content moderation upgrades from 'recommended' to 'expected' under California AADC, UK OSA Part 3, and the EU DSA's enhanced obligations on platforms reaching minors.

Required by (3 regulations)

  • DSA

    Art 16-17 (notice-and-action + statement of reasons), Art 28 (minor-protection systems on platforms reaching minors).

    DSA Art. 16, 17, 28

  • UK OSA

    Part 3 illegal-content + child-safety duties — chat services with UK users must implement proportionate moderation systems.

    OSA 2023 Part 3

  • KOSA

    (if enacted) §3 platform duty-of-care to mitigate harms to minors including bullying, sexual exploitation, mental-health-harming content patterns in chat surfaces.

    KOSA §3

Fulfilled by (4)

  • community-sift-two-hat · full · medium effort · $$$
    Microsoft / Two Hat Community Sift — real-time chat classification with platform-level risk tagging.
  • activefence · full · medium effort · $$$
    Trust + safety platform with chat-pattern detection, grooming-signal classifiers, and threat-intel feeds.
  • hive · partial · low effort · $$
    Hive's text / image moderation APIs cover chat triage; pair with a workflow tool for enforcement actions.
  • In-house build · high effort
    Build a chat-moderation pipeline: classifier (managed or custom), enforcement workflow, NCMEC integration, SoR export. Typically takes 3-6 months of engineering effort.

ClearLaunch does not accept payment from vendors. Methodology.

Evidence formats

  • chat moderation policy doc
  • classifier / vendor pipeline diagram
  • enforcement action ledger
  • Statement of Reasons (SoR) export
  • NCMEC referral procedure

ClearLaunch provides legal information based on publicly available regulatory sources. It does not constitute legal advice and does not create an attorney-client relationship. Consult a licensed attorney in your jurisdiction before making compliance decisions.

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Built by Neel Patel, in-house game counsel. Games touch more compliance domains at once than anything else in tech. That's what ClearLaunch was designed around.

ClearLaunch provides legal information based on publicly available regulatory sources. It does not constitute legal advice and does not create an attorney-client relationship. Consult a licensed attorney in your jurisdiction before making compliance decisions. Operated by a Washington-licensed attorney. Not licensed in California or other US states. ClearLaunch provides legal information; consult a licensed attorney in your jurisdiction. Data reviewed through March 2026. Methodology

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