What is Content Moderation?

Content moderation serves as a "filter" for user-generated content (UGC) and AI-generated content (AIGC) on platforms.

Every day, we are exposed to a vast amount of online content, 80% of which comes from creations by ordinary users and content generated by AI. However, we rarely encounter a large quantity of risky content such as malicious comments, vulgar videos, and scam information. 

Behind the scenes, it is "content moderation" that maintains the purity and order of the online world.

Content moderation helps platforms monitor multi-modal content—including text, images, videos, and audio—published by users or generated by AI in real time.

 It assesses whether such content carries risks like pornography, violence, discrimination, insults, child exploitation, hate speech, or ad-driven traffic diversion, and then identifies and addresses risky content accordingly.

Relying solely on human resources for content moderation is far from sufficient; instead, a "human-machine collaboration" model is more commonly adopted. Today, traditional content moderation models are being replaced by LLM (Large Language Model) content moderation agents. 

These AI content moderation agents enable real-time and rapid scanning of content generated on platforms, helping platforms reduce labor costs and improve moderation efficiency.

Why Can't We Do Without Content Moderation?

It helps platforms build a clean, trustworthy online ecosystem, enhance user experience, avoid legal risks, safeguard the platform’s brand image, and achieve sustainable development.

Content moderation assists platforms in identifying harmful content, and together with platforms, it uses AI to build a clean and trustworthy digital world.