ai-moderating-content

Automate content moderation by classifying user-generated posts, scoring severity, and routing decisions to approve, warn, human_review, or remove based on confidence and platform policies.

Confidence-based routing directs classified content to automated actions or human review by evaluating severity scores and classification confidence against your platform's policy enforcement thresholds.

Yes, you can use DSPy to build a moderation module that classifies policy violations like spam, hate, NSFW, and harassment while assigning a severity level to each post.

Assert-based policy controls provide hard blocks to intercept obvious policy violations before LM evaluation, ensuring your content moderation decisions remain auditable and strictly enforced.

The best way to moderate marketplace listings and forum comments is applying automated classification with severity scoring and confidence-based routing to handle policy enforcement where human review is rare.

Route content to human review when classification confidence is low or severity scores fall in an ambiguous range, reserving automated removal for high-confidence, clear policy violations.