recovery-community-moderator

Trauma-informed moderation evaluates forum posts by applying harm reduction principles and 12-step traditions to distinguish healthy conflict from abuse. It categorizes content severity and detects crisis indicators, suggesting automated actions like hiding, flagging, or warning users based on the analysis.

Yes, you can use AI to automatically detect crisis posts in a recovery forum by analyzing content for crisis indicators. The moderation system evaluates new posts against harm reduction compliance standards and flags users needing immediate support.

You set up automated content analysis for a recovery community by running Python scripts that utilize the Anthropic API to process and classify forum posts. The scripts analyze text input, evaluate harm reduction compliance, and output severity categorizations with suggested moderation actions.

Yes, trauma-informed AI moderation distinguishes between healthy conflict and abuse by evaluating post content against established harm reduction principles. This classification allows the system to identify genuine violations requiring action while preserving supportive, constructive disagreements within the community.

AI for harm reduction moderation operates via automated content analysis and may require human oversight for complex, nuanced edge cases. It suggests moderation actions like flagging or warning based on severity categorization, but final enforcement decisions in sensitive crisis situations should involve community moderators.