Abstract
In this paper, we use a new categorical form of multidimensional register anal- ysis to identify the main dimensions of functional linguistic variation in a cor- pus 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 Twit- ter and computer-mediated communica- tion, we discover three dimensions of lin- guistic 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 signif- icant functional difference between racist and sexist Tweets, with sexists Tweets tending to be more interactive and attitu- dinal than racist Tweets.
| Original language | English |
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| Title of host publication | Proceedings of the First Workshop on Abusive Language Online |
| Publisher | Association for Computational Linguistics, ACL |
| Number of pages | 10 |
| ISBN (Print) | 978-1945626661 |
| Publication status | Published - 30 Jul 2017 |
| Event | Annual Meeting of the Association for Computational Linguistics - Vancouver, Canada Duration: 30 Jul 2017 → 4 Aug 2017 |
Conference
| Conference | Annual Meeting of the Association for Computational Linguistics |
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| Country/Territory | Canada |
| Period | 30/07/17 → 4/08/17 |