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Article published In: Language and Covid-19
Edited by Michaela Mahlberg and Gavin Brookes
[International Journal of Corpus Linguistics 26:4] 2021
► pp. 532–556

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A discourse dynamics exploration of attitudinal responses towards COVID-19 in academia and media

 | Shandong University
ORCiD logo with link | The University of Auckland
 | Shandong University
Published online: 23 September 2021
DOI logo with link
https://doi.org/10.1075/ijcl.21103.don
Abstract
This study analyzes attitudinal positioning in academic and media discourse pertaining to COVID-19 from the COVID-19 Corpus and Coronavirus Corpus, using a discourse dynamics approach. Underpinning this approach is the Complex Dynamic Systems Theory (CDST), which we employ to examine the discursive practices of a discourse event across time periods (timescales). The analysis identified significant differences in attitudinal markers and noteworthy developmental patterns in attitude positioning; the developmental trajectories of attitude construction were characterized by a nonlinear developmental pattern subject to fluctuations and variability. We also discerned the existence of dynamic interaction between the uses of attitudinal markers and the reported cases of COVID-19. Methodologically, we demonstrate how the integration of the discourse dynamics approach with corpus linguistics strengthens the social contextualization of data by enabling the identification of developmental patterns of targeted language features over time, and the interconnections of these language features with contextually important social factors.
Article outline
  • 1.Introduction
  • 2.Attitude and the appraisal framework
  • 3.Methods
    • 3.1Corpora
      • 3.1.1COVID-19 academic corpus
      • 3.1.2The coronavirus corpus
    • 3.2The analytical procedure
  • 4.Results and discussion
    • 4.1The cross-corpus comparison of attitudinal markers
    • 4.2The dynamic patterns in the expression of atittude
    • 4.3Dynamic interaction between attitudinal linguistic markers and social factors (the reported Coronavirus cases)
  • 5.Conclusion
  • Acknowledgements
  • Notes
  • References
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