5 Types of Content Moderation and How to Scale Using AI

User-generated content (UGC) is increasingly used by various industries to drive revenue and brand loyalty, but it requires careful moderation to prevent reputational and legal issues. While 85% of people trust UGC over company-generated content, moderation is essential to filter out inappropriate language and imagery, protect community members, and avoid liabilities from illegal content like child sexual exploitation material. Several moderation methods exist, including pre-moderation, post-moderation, reactive, distributed, and automated moderation, each with distinct advantages and challenges. Automated moderation, powered by AI, offers scalable solutions by using computer vision and natural language processing to quickly and accurately filter images, videos, and text, supporting human moderators in managing large volumes of content. AI aids in scaling moderation efforts, allowing companies to maintain safe and reputable online communities by efficiently identifying and removing harmful content before it becomes visible.

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