Who Decides What Is Harmful? Content Moderation Policy Through A Multi-Agent Personalised Inference Framework
arXiv:2605.01416v1 Announce Type: cross
Abstract: The increasing scale and complexity of online platforms raises critical policy questions around harmful content, digital well-being, and user autonomy. Traditional content moderation systems rely on ce…