Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators.

arXiv:2411.05854v2 Announce Type: replace-cross Abstract: Video platforms, used by billions globally, are criticized for exposing users to harmful content. Yet, detecting online harm remains challenging due to inconsistent approaches to what constitutes harm a