Sexism Identification on TikTok: A Multimodal AI Approach with Text, Audio, and Video.

Iván Árcos|Paolo Rosso


Anthology ID:DBLP:conf/clef/ArcosR24
Volume:Experimental IR Meets Multilinguality, Multimodality, and Interaction - 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9-12, 2024, Proceedings, Part I
Year:2024
Venue:Conference and Labs of the Evaluation Forum (CLEF)
Publisher:Springer
Pages:61-73
URL:https://doi.org/10.1007/978-3-031-71736-9_2
DOI:https://doi.org/10.1007/978-3-031-71736-9_2
DBLP:conf/clef/ArcosR24
BibTeX:
@inproceedings{arcos-2024-sexism, author = {Iv\'{a}n \'{A}rcos and Paolo Rosso}, editor = {Lorraine Goeuriot and Philippe Mulhem and Georges Qu\'{e}not and Didier Schwab and Giorgio Maria Di Nunzio and Laure Soulier and Petra Galusc\'{a}kov\'{a} and Alba Garcia Seco de Herrera and Guglielmo Faggioli and Nicola Ferro}, title = {{Sexism Identification on TikTok: A Multimodal AI Approach with Text, Audio, and Video}}, booktitle = {{Experimental IR Meets Multilinguality, Multimodality, and Interaction - 15th International Conference of the CLEF Association, CLEF 2024, Grenoble, France, September 9-12, 2024, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {14958}, pages = {61--73}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-71736-9_2}, doi = {https://doi.org/10.1007/978-3-031-71736-9_2} }