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Home > Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 > No. 17: IAAI-21, EAAI-21, AAAI-21 Special Programs and Special Track

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

February 1, 2023

Authors

Binny Mathew

Indian Institute of Technology, Kharagpur, India


Punyajoy Saha

Indian Institute of Technology, Kharagpur, India


Seid Muhie Yimam

Universität Hamburg, Germany


Chris Biemann

Universität Hamburg, Germany


Pawan Goyal

Indian Institute of Technology, Kharagpur, India


Animesh Mukherjee

Indian Institute of Technology, Kharagpur, India


Proceedings:

No. 17: IAAI-21, EAAI-21, AAAI-21 Special Programs and Special Track

Volume

Issue:

Proceedings of the AAAI Conference on Artificial Intelligence, 35

Track:

AAAI Special Track on AI for Social Impact

Downloads:

Download PDF

Abstract:

Hate speech is a challenging issue plaguing the online social media. While better models for hate speech detection are continuously being developed, there is little research on the bias and interpretability aspects of hate speech. In this paper, we introduce HateXplain, the first benchmark hate speech dataset covering multiple aspects of the issue. Each post in our dataset is annotated from three different perspectives: the basic, commonly used 3-class classification (i.e., hate, offensive or normal), the target community (i.e., the community that has been the victim of hate speech/offensive speech in the post), and the rationales, i.e., the portions of the post on which their labelling decision (as hate, offensive or normal) is based. We utilize existing state-of-the-art models and observe that even models that perform very well in classification do not score high on explainability metrics like model plausibility and faithfulness. We also observe that models, which utilize the human rationales for training, perform better in reducing unintended bias towards target communities. We have made our code and dataset public for other researchers.

DOI:

10.1609/aaai.v35i17.17745


AAAI

Proceedings of the AAAI Conference on Artificial Intelligence, 35



Topics: AAAI

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