Literature DB >> 33733134

Hybrid Hashtags: #YouKnowYoureAKiwiWhen Your Tweet Contains Māori and English.

David Trye1, Andreea S Calude2, Felipe Bravo-Marquez3, Te Taka Keegan1.   

Abstract

Twitter constitutes a rich resource for investigating language contact phenomena. In this paper, we report findings from the analysis of a large-scale diachronic corpus of over one million tweets, containing loanwords from te reo Māori, the indigenous language spoken in New Zealand, into (primarily, New Zealand) English. Our analysis focuses on hashtags comprising mixed-language resources (which we term hybrid hashtags), bringing together descriptive linguistic tools (investigating length, word class, and semantic domains of the hashtags) and quantitative methods (Random Forests and regression analysis). Our work has implications for language change and the study of loanwords (we argue that hybrid hashtags can be linked to loanword entrenchment), and for the study of language on social media (we challenge proposals of hashtags as "words," and show that hashtags have a dual discourse role: a micro-function within the immediate linguistic context in which they occur and a macro-function within the tweet as a whole).
Copyright © 2020 Trye, Calude, Bravo-Marquez and Keegan.

Entities:  

Keywords:  Māori; New Zealand English; hashtag half-life; hashtags; language contact; loanwords; the language of social media; word embeddings

Year:  2020        PMID: 33733134      PMCID: PMC7861263          DOI: 10.3389/frai.2020.00015

Source DB:  PubMed          Journal:  Front Artif Intell        ISSN: 2624-8212


  2 in total

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Authors:  Mark Pagel; Quentin D Atkinson; Andrew Meade
Journal:  Nature       Date:  2007-10-11       Impact factor: 49.962

2.  The deep history of the number words.

Authors:  Mark Pagel; Andrew Meade
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-02-19       Impact factor: 6.237

  2 in total
  2 in total

1.  Change in Threads on Twitter Regarding Influenza, Vaccines, and Vaccination During the COVID-19 Pandemic: Artificial Intelligence-Based Infodemiology Study.

Authors:  Arriel Benis; Anat Chatsubi; Eugene Levner; Shai Ashkenazi
Journal:  JMIR Infodemiology       Date:  2021-10-14

2.  Harnessing Indigenous Tweets: The Reo Māori Twitter corpus.

Authors:  David Trye; Te Taka Keegan; Paora Mato; Mark Apperley
Journal:  Lang Resour Eval       Date:  2022-02-14       Impact factor: 1.358

  2 in total

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