The variable use of diacritics in synchronous computer-mediated French discourse: Replication research.

This study promotes replication research as a methodological approach that is needed in order to compare earlier and more recent analyses of digital discourse. When much of the existing research was conducted, the primary means of communication included the use of a computer keyboard, (presumably) l...

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Detalles Bibliográficos
Publicado en:Journal of French Language Studies Vol. 32; no. 2; pp. 216 - 243
Autores principales: Blattner, Geraldine, Williams, Lawrence
Formato: Artículo
Publicado: Cambridge University Press Jul2022
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Blattner, Geraldine
          Williams, Lawrence
        affil:
          Florida Atlantic University, LLCL, Florida, United States
          University of North Texas, World Languages, Literatures & Cultures, Texas, United States
      su:
        Keyboards (Electronics)
        Digital media
        Discourse
        Discourse analysis
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        subj:
          Keyboards (Electronics)
          Digital media
          Discourse
          Discourse analysis
      ab: This study promotes replication research as a methodological approach that is needed in order to compare earlier and more recent analyses of digital discourse. When much of the existing research was conducted, the primary means of communication included the use of a computer keyboard, (presumably) less bandwidth, and fewer devices. However, with an increase of the range of device types, the study of diacritics deserves another look within the Digital Media landscape. The present study examines the variable use of diacritics in synchronous (i.e., real-time) French chat discourse. We have replicated a study with different data sets from the same chat corpus, which is composed of data from a European chat server. We have also compared the data from the 2008 half of the corpus to data from the same chat channels collected in 2016 (just over 60,000 words in each half of the corpus, which included a total of 7,569 tokens that were coded). Our analysis of the 2008 corpus showed that one main finding was not the same as ours (from a different part of the 2008 corpus). Moreover, a diachronic analysis (2008 vs. 2016) revealed reversed trends between the two age-based channels (i.e., 20s vs. 50s).
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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