/ˈkɒntɛnt ˌmɒdəˈreɪʃən/
Content moderation is the process of screening and filtering user-generated content (UGC) to determine whether it should be published, flagged, or removed from a platform. This practice is essential for maintaining safe online environments and protecting users from harmful material.
Modern content moderation combines automated systems powered by artificial intelligence with human review to achieve accuracy at scale. The goal is to remove harmful content while preserving legitimate free expression.
Effective content moderation protects users from harmful material, maintains brand safety for advertisers, ensures legal compliance, and creates positive user experiences that drive platform growth.
Content moderation applies to various media formats including:
Image moderation focuses on detecting visual content that violates platform policies. This includes NSFW content, violence, hate symbols, spam, and other harmful imagery. AI-powered image moderation APIs can analyze images in milliseconds, providing confidence scores that help determine appropriate actions.
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