Auto-Moderate UGC → Flag Issues → Update Content Database
Automatically scan user-generated content for policy violations, flag problematic posts, and maintain a clean content database for social platforms and communities.
Workflow Steps
OpenAI GPT-4
Analyze content for policy violations
Use GPT-4 API to evaluate user posts, comments, or uploads against your content guidelines. Create a prompt that defines your specific moderation policies (hate speech, spam, inappropriate content) and returns a violation score and category.
Zapier
Route flagged content based on severity
Set up conditional logic in Zapier that automatically routes high-risk content (score >7/10) to immediate removal queue, medium-risk (4-7) to human review, and low-risk (<4) to approved status.
Airtable
Log moderation decisions and build training data
Create a moderation database that tracks each piece of content, AI decision, human override (if any), and final outcome. This builds a dataset to improve your moderation prompts over time.
Slack
Alert moderators for urgent reviews
Send immediate notifications to your moderation team channel when high-severity content is detected, including the content preview, violation type, and direct link to review/approve the AI decision.
Workflow Flow
Step 1
OpenAI GPT-4
Analyze content for policy violations
Step 2
Zapier
Route flagged content based on severity
Step 3
Airtable
Log moderation decisions and build training data
Step 4
Slack
Alert moderators for urgent reviews
Why This Works
Combines AI speed with human oversight, creating a scalable moderation system that learns from decisions and maintains consistent policy enforcement across large volumes of content.
Best For
Social media platforms, online communities, and user-generated content sites
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