Predictive Embeddings for Hate Speech Detection on Twitter

Rohan Kshirsagar; Tyrus Cukuvac; Kathleen McKeown; Susan McGregor

doi:10.18653/v1/W18-5104

Predictive Embeddings for Hate Speech Detection on Twitter

Rohan Kshirsagar, Tyrus Cukuvac, Kathy McKeown, Susan McGregor

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Abstract

We present a neural-network based approach to classifying online hate speech in general, as well as racist and sexist speech in particular. Using pre-trained word embeddings and max/mean pooling from simple, fully-connected transformations of these embeddings, we are able to predict the occurrence of hate speech on three commonly used publicly available datasets. Our models match or outperform state of the art F1 performance on all three datasets using significantly fewer parameters and minimal feature preprocessing compared to previous methods.

Anthology ID:: W18-5104
Volume:: Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)
Month:: October
Year:: 2018
Address:: Brussels, Belgium
Editors:: Darja Fišer, Ruihong Huang, Vinodkumar Prabhakaran, Rob Voigt, Zeerak Waseem, Jacqueline Wernimont
Venue:: ALW
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 26–32
Language:
URL:: https://aclanthology.org/W18-5104/
DOI:: 10.18653/v1/W18-5104
Bibkey:
Cite (ACL):: Rohan Kshirsagar, Tyrus Cukuvac, Kathy McKeown, and Susan McGregor. 2018. Predictive Embeddings for Hate Speech Detection on Twitter. In Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), pages 26–32, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):: Predictive Embeddings for Hate Speech Detection on Twitter (Kshirsagar et al., ALW 2018)
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PDF:: https://aclanthology.org/W18-5104.pdf

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@inproceedings{kshirsagar-etal-2018-predictive,
    title = "Predictive Embeddings for Hate Speech Detection on {T}witter",
    author = "Kshirsagar, Rohan  and
      Cukuvac, Tyrus  and
      McKeown, Kathy  and
      McGregor, Susan",
    editor = "Fi{\v{s}}er, Darja  and
      Huang, Ruihong  and
      Prabhakaran, Vinodkumar  and
      Voigt, Rob  and
      Waseem, Zeerak  and
      Wernimont, Jacqueline",
    booktitle = "Proceedings of the 2nd Workshop on Abusive Language Online ({ALW}2)",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-5104/",
    doi = "10.18653/v1/W18-5104",
    pages = "26--32",
    abstract = "We present a neural-network based approach to classifying online hate speech in general, as well as racist and sexist speech in particular. Using pre-trained word embeddings and max/mean pooling from simple, fully-connected transformations of these embeddings, we are able to predict the occurrence of hate speech on three commonly used publicly available datasets. Our models match or outperform state of the art F1 performance on all three datasets using significantly fewer parameters and minimal feature preprocessing compared to previous methods."
}

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%0 Conference Proceedings
%T Predictive Embeddings for Hate Speech Detection on Twitter
%A Kshirsagar, Rohan
%A Cukuvac, Tyrus
%A McKeown, Kathy
%A McGregor, Susan
%Y Fišer, Darja
%Y Huang, Ruihong
%Y Prabhakaran, Vinodkumar
%Y Voigt, Rob
%Y Waseem, Zeerak
%Y Wernimont, Jacqueline
%S Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F kshirsagar-etal-2018-predictive
%X We present a neural-network based approach to classifying online hate speech in general, as well as racist and sexist speech in particular. Using pre-trained word embeddings and max/mean pooling from simple, fully-connected transformations of these embeddings, we are able to predict the occurrence of hate speech on three commonly used publicly available datasets. Our models match or outperform state of the art F1 performance on all three datasets using significantly fewer parameters and minimal feature preprocessing compared to previous methods.
%R 10.18653/v1/W18-5104
%U https://aclanthology.org/W18-5104/
%U https://doi.org/10.18653/v1/W18-5104
%P 26-32

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Markdown (Informal)

[Predictive Embeddings for Hate Speech Detection on Twitter](https://aclanthology.org/W18-5104/) (Kshirsagar et al., ALW 2018)

Predictive Embeddings for Hate Speech Detection on Twitter (Kshirsagar et al., ALW 2018)

ACL

Rohan Kshirsagar, Tyrus Cukuvac, Kathy McKeown, and Susan McGregor. 2018. Predictive Embeddings for Hate Speech Detection on Twitter. In Proceedings of the 2nd Workshop on Abusive Language Online (ALW2), pages 26–32, Brussels, Belgium. Association for Computational Linguistics.