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Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Pandiani, Delfina Sol Martinez, Sang, Erik Tjong Kim, Ceolin, Davide
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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