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

Short video platforms, such as YouTube, Instagram, or TikTok, are used by billions of users globally. These platforms expose users to harmful content, ranging from clickbait or physical harms to misinformation or online hate. Yet, detecting harmful videos remains challenging due to an inconsistent u...

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Bibliographische Detailangaben

Hauptverfasser:	Jo, Claire Wonjeong, Wesołowska, Miki, Wojcieszak, Magdalena
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Computers and Society Computer Science - Multimedia
Online-Zugang:	Volltext bestellen
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