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2021 ACL ACL 2021

Findings of the WOAH 5 Shared Task on Fine Grained Hateful Memes Detection

Abstract

AbstractWe present the results and main findings of the shared task at WOAH 5 on hateful memes detection. The task include two subtasks relating to distinct challenges in the fine-grained detection of hateful memes: (1) the protected category attacked by the meme and (2) the attack type. 3 teams submitted system description papers. This shared task builds on the hateful memes detection task created by Facebook AI Research in 2020.

🐣 Hot Topic Early Bird - content moderation

Authors

Lambert Mathias, Shaoliang Nie, Aida Mostafazadeh Davani, Douwe Kiela, Vinodkumar Prabhakaran, Bertie Vidgen, Zeerak Waseem

Topics

Machine Learning > Core Methods > Classification Machine Learning > Application Areas > Domain Adaptation

Keywords

content moderation meme classification fine-grained classification multimodal classification hate speech detection multimodal analysis hateful meme detection protected category
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