AI 'slop' is a social judgement

As AI-generated material spreads through online information environments, attempts to identify it automatically and remove it are not keeping pace. The central argument is that “slop” should not be treated as a fixed technical category defined solely by whether AI produced something or by an algorithmic score. Instead, it is a social judgement: a community’s way of identifying AI-generated content it considers unwanted. The label therefore reflects shared expectations about what belongs in a space, as well as reactions to the content itself.

This framing shifts attention from building ever more reliable AI detectors to examining how people and communities decide what counts as objectionable AI content. Those judgements can be studied and compared, making a vague, often dismissive term more tractable as an object of research. The authors argue that understanding slop as socially defined could also make it more governable: platforms and institutions could develop responses grounded in community norms rather than relying only on technical detection or blanket bans. The approach makes the question not simply “Was this made by AI?” but “Do people in this setting regard it as unwanted, and why?”