User Generated Content Moderation
Improve user generated content moderation with AI screening that evaluates authenticity, relevance, and abuse signals across comments, discussions, reviews, and submissions.
UGC moderation is broader than comment filtering
User generated content includes comments, reviews, forum posts, profile submissions, community replies, and other public contributions. Each can be abused by spam campaigns, synthetic engagement, and low-value promotional content.
As content types expand, moderation systems need to be flexible enough to judge quality across multiple workflows instead of handling each surface separately with brittle rules.
Why context matters across UGC surfaces
A message may be acceptable in one workflow and suspicious in another. Effective user generated content moderation should consider page purpose, business context, expected user intent, and message substance before deciding whether the content belongs.
Kanshi is designed for that kind of context-aware decision making.
How Kanshi supports scalable moderation
Kanshi returns structured allow, block, or flag outcomes that teams can apply across comments, reviews, discussions, and custom submission flows. That helps organizations build more consistent moderation logic without forcing blanket friction onto every contributor.
The result is cleaner public content and less wasted review time.
Moderate user-generated content with more consistency
Kanshi helps teams evaluate public submissions using message intent and context instead of narrow, one-dimensional spam checks.