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Photo and video moderation refers to the process of analyzing visual content to detect, classify, and filter inappropriate, harmful, or non-compliant material before it reaches public platforms. Moderation can be done manually, through AI automation, or by combining both approaches for greater accuracy.

Automated moderation systems rely on machine learning models and computer vision algorithms that can recognize patterns, objects, and contexts within images or videos. They can detect violence, nudity, hate symbols, weapons, drugs, or offensive gestures. In addition to filtering explicit content, these systems can also identify spam, misinformation, and copyright violations.