Hatemoji: A test suite and adversarially-generated dataset for benchmarking and detecting emoji-based hate
Detecting online hate is a complex task, and low-performing models have harmful consequences when used for sensitive applications such as content moderation. Emoji-based hate is an emerging challenge for automated detection. We present HatemojiCheck, a test suite of 3,930 short-form statements that...
| Principais autores: | , , , , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
Association for Computational Linguistics
2022
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