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Dimensions of Abusive Language on Twitter

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Dimensions of Abusive Language on Twitter. / Clarke, Isobelle; Grieve, Jack.
Proceedings of the First Workshop on Abusive Language Online. ed. / Zeerak Waseem; Wendy Hui Kyong Chung; Dirk Hovy; Joel Tetreault. Stroudsburg: Association for Computational Linguistics, 2017. p. 1-10.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Clarke, I & Grieve, J 2017, Dimensions of Abusive Language on Twitter. in Z Waseem, W Hui Kyong Chung, D Hovy & J Tetreault (eds), Proceedings of the First Workshop on Abusive Language Online. Association for Computational Linguistics, Stroudsburg, pp. 1-10, First Workshop on Abusive Language Online, Vancouver, Canada, 4/08/17. https://doi.org/10.18653/v1/W17-3001

APA

Clarke, I., & Grieve, J. (2017). Dimensions of Abusive Language on Twitter. In Z. Waseem, W. Hui Kyong Chung, D. Hovy, & J. Tetreault (Eds.), Proceedings of the First Workshop on Abusive Language Online (pp. 1-10). Association for Computational Linguistics. https://doi.org/10.18653/v1/W17-3001

Vancouver

Clarke I, Grieve J. Dimensions of Abusive Language on Twitter. In Waseem Z, Hui Kyong Chung W, Hovy D, Tetreault J, editors, Proceedings of the First Workshop on Abusive Language Online. Stroudsburg: Association for Computational Linguistics. 2017. p. 1-10 doi: 10.18653/v1/W17-3001

Author

Clarke, Isobelle ; Grieve, Jack. / Dimensions of Abusive Language on Twitter. Proceedings of the First Workshop on Abusive Language Online. editor / Zeerak Waseem ; Wendy Hui Kyong Chung ; Dirk Hovy ; Joel Tetreault. Stroudsburg : Association for Computational Linguistics, 2017. pp. 1-10

Bibtex

@inproceedings{062b558e52a14f98a0ba2683af71c8a1,
title = "Dimensions of Abusive Language on Twitter",
abstract = "In this paper, we use a new categorical form of multidimensional register analysis to identify the main dimensions of functional linguistic variation in a corpus of abusive language, consisting of racist and sexist Tweets. By analysing the use of a wide variety of parts-of-speech and grammatical constructions, as well as various features related to Twitter and computer-mediated communication, we discover three dimensions of linguistic variation in this corpus, which we interpret as being related to the degree of interactive, antagonistic and attitudinal language exhibited by individual Tweets. We then demonstrate that there is a significant functional difference between racist and sexist Tweets, with sexists Tweets tending to be more interactive and attitudinal than racist Tweets.",
author = "Isobelle Clarke and Jack Grieve",
year = "2017",
month = aug,
day = "4",
doi = "10.18653/v1/W17-3001",
language = "English",
pages = "1--10",
editor = "Zeerak Waseem and {Hui Kyong Chung}, Wendy and Dirk Hovy and Joel Tetreault",
booktitle = "Proceedings of the First Workshop on Abusive Language Online",
publisher = "Association for Computational Linguistics",
note = "First Workshop on Abusive Language Online ; Conference date: 04-08-2017 Through 04-08-2017",

}

RIS

TY - GEN

T1 - Dimensions of Abusive Language on Twitter

AU - Clarke, Isobelle

AU - Grieve, Jack

PY - 2017/8/4

Y1 - 2017/8/4

N2 - In this paper, we use a new categorical form of multidimensional register analysis to identify the main dimensions of functional linguistic variation in a corpus of abusive language, consisting of racist and sexist Tweets. By analysing the use of a wide variety of parts-of-speech and grammatical constructions, as well as various features related to Twitter and computer-mediated communication, we discover three dimensions of linguistic variation in this corpus, which we interpret as being related to the degree of interactive, antagonistic and attitudinal language exhibited by individual Tweets. We then demonstrate that there is a significant functional difference between racist and sexist Tweets, with sexists Tweets tending to be more interactive and attitudinal than racist Tweets.

AB - In this paper, we use a new categorical form of multidimensional register analysis to identify the main dimensions of functional linguistic variation in a corpus of abusive language, consisting of racist and sexist Tweets. By analysing the use of a wide variety of parts-of-speech and grammatical constructions, as well as various features related to Twitter and computer-mediated communication, we discover three dimensions of linguistic variation in this corpus, which we interpret as being related to the degree of interactive, antagonistic and attitudinal language exhibited by individual Tweets. We then demonstrate that there is a significant functional difference between racist and sexist Tweets, with sexists Tweets tending to be more interactive and attitudinal than racist Tweets.

U2 - 10.18653/v1/W17-3001

DO - 10.18653/v1/W17-3001

M3 - Conference contribution/Paper

SP - 1

EP - 10

BT - Proceedings of the First Workshop on Abusive Language Online

A2 - Waseem, Zeerak

A2 - Hui Kyong Chung, Wendy

A2 - Hovy, Dirk

A2 - Tetreault, Joel

PB - Association for Computational Linguistics

CY - Stroudsburg

T2 - First Workshop on Abusive Language Online

Y2 - 4 August 2017 through 4 August 2017

ER -