Editorial published In:
Register and social media
Edited by Isobelle Clarke and Jack Grieve
[Register Studies 4:2] 2022
► pp. 133137
Berber Sardinha, T.
(2022) Corpus linguistics and the study of social media: a case study using multi-dimensional analysis. In A. O’Keeffe & M. McCarthy (Eds.), The Routledge handbook of corpus linguistics (2nd ed., pp. 656–674). New York: Routledge. DOI logoGoogle Scholar
Clarke, I.
(2020) Linguistic variation across Twitter and Twitter trolling [Unpublished doctoral dissertation]. University of Birmigham.
(2022) A Multi-dimensional analysis of English tweets. Language and Literature. Advance online publication. DOI logoGoogle Scholar
Clarke, I. & Grieve, J.
(2017) Dimensions of abusive language on Twitter. In Proceedings of the First Workshop on Abusive Language Online (pp. 1–10). Vancouver: Association for Computational Linguistics. DOI logoGoogle Scholar
(2019) Stylistic variation on the Donald Trump Twitter account: A linguistic analysis of tweets posted between 2009 and 2018. PLOS ONE, 14 (9), e0222062. DOI logoGoogle Scholar
Dean, B.
(2021, October 10). Social network usage & growth statistics: How many people use social media in 2022? Backlinko. Retrieved from [URL]
Labov, W., & Waletzky, J.
(1967) Narrative analysis. In J. Helm (Ed.), Essays on the verbal and visual arts (pp. 12–44). Seattle/ London: University of Washington Press.Google Scholar
Liimatta, A.
(2020) Using lengthwise scaling to compare feature frequencies across text lengths on Reddit. In S. Rüdiger & D. Dayter (Eds.), Corpus approaches to social media (pp. 111–130). Amsterdam/Philadelphia: John Benjamins. DOI logoGoogle Scholar