Docent

Programari de fòrums i debats

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A human-in-the-loop moderation system for online communities utilizes advanced artificial intelligence and manual oversight to monitor and manage user-generated content, such as messages and images, ensuring safety and compliance with community standards. Its key features include a dual-layer AI filtering process that quickly screens out obvious violations, a calming "cool-off" period allowing users to revise borderline content, full transparency and control for moderators with contextual flagging and decision logs, and community-driven flagging options to involve members in moderation. It addresses problems related to harmful or inappropriate content, reduces moderation workload, and maintains a balance between community safety and user experience, making it ideal for online communities, forums, gaming clans, or social groups seeking effective, fair, and adaptable content moderation solutions.

Docent es pot trobar a Forum & Discussion Software categories.

Els productes més similars a Docent són:

Rankability Promogut → Besedo → Checkstep → Lasso → Areto →

Captures de pantalla

Detalls

Característiques principals de Docent

• Easy setup
  You can set up the system quickly from the dashboard and start in observation mode without changing anything for your members.
• Appeals system
  Members can ask moderators to review decisions through private messages, and moderators can accept or overturn appeals.
• Cool off feature
  Borderline messages are held briefly, giving users a chance to rewrite or delete their message before moderation.
• Message screening
  All messages and images are checked quickly by a pre-filter and a smarter AI that understands your server rules.
• Community flagging
  Members can use emojis to flag posts they find concerning for moderator review.
• Moderator decisions
  Moderators see flagged posts as full context cards and decide whether to approve or reject them.
• AI learns from decisions
  Each moderator decision teaches the AI what your community considers good or bad.
• Three-stage review process
  Messages go through three steps: screening, cooling-off, and moderator decision before any action is taken.
• Human-in-the-loop moderation
  Humans stay in charge by reviewing messages flagged by AI before any action is taken.

Insígnies

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Còpia de la insígnia

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Còpia de la insígnia

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Tecnologies utilitzades

Veure totes les tecnologies