Open Access
Issue
SHS Web Conf.
Volume 100, 2021
IV International Scientific Congress “Society of Ambient Intelligence – 2021” (ISCSAI 2021)
Article Number 02004
Number of page(s) 7
Section Business Communication and Linguistics
DOI https://doi.org/10.1051/shsconf/202110002004
Published online 25 March 2021
  1. A. M. Baig, M. Chronic COVID Syndrome: Need for an appropriate medical terminology for Long-COVID and COVID Long-Haulers. Jrn. of Med. Virol. (2020). doi: 10.1002/jmv.26624 [Google Scholar]
  2. D. Ricks, 100 Questions & Answers About Coronaviruses (Jones & Bartlett Learning, Burlington, 2021) [Google Scholar]
  3. D. Seedhouse, The Case for Democracy in the COVID-19 Pandemic (SAGE Publications, London, 2020) [Google Scholar]
  4. A. Bradshaw, J. Hietanen, The Dictionary of Coronavirus Culture (Repeater Books, London, 2020) [Google Scholar]
  5. J. S. Spence, Covid-19, Exposition and Poetry on Coronavirus: An Education in Literary Notes Uplifting (Clever Fox Publishing, Chennai, 2020) [Google Scholar]
  6. D. Lilleker, I.A. Coman, M. Gregor, E. Novelli (eds.), Political Communication and COVID- 19: Governance and Rhetoric in Times of Crisis (Routledge, New York, 2021) [Google Scholar]
  7. H. D. O’Hair, M. J. O’Hair, Communicating Science in Times of Crisis: Coronavirus (Wiley-Blackwell, New York, 2021) [Google Scholar]
  8. S. Molthagen-Schnöring, Communicating Science in Covid Times: Why communication with “the public” is not the goal of science communication. Eleph. In the Lab (2020). doi: 10.5281/zenodo.3956336 [Google Scholar]
  9. H. Haddad, S. Monterero-Martinez. COVID-19: a metaphor-based neologism and its translation into Arabic. JCOM 19(05), (2020). doi: 10.22323/2.19050201 [CrossRef] [Google Scholar]
  10. L.-Ch. Chen, K.-H. Chang, H.-Y. Chung A Novel Statistic-Based Corpus Machine Processing Approach to Refine a Big Textual Data: An ESP Case of COVID-19 News Reports. Appl. Sci. 10 (5505), (2020). doi: 10.3390/app10165505 [Google Scholar]
  11. H. Ma, L. Shen, H. Sun, Z. Xu, L. Xou, S. Wu, A. Fang, J. Li, Q. Qian. COVID Term: A Bilingual Terminology for COVID-19. Res. Sq. (2020). doi: 10.21203/rs.3.rs-30923/v1 (in press) [Google Scholar]
  12. T. Stewart, July 2020 update: scientific terminology of Covid-19. (OED, 2020), https://public.oed.com/blog/july-2020-update-scientific-terminology-of-covid-19/. Accessed 14 Dec 2020 [Google Scholar]
  13. Corpus analysis of the language of Covid-19 (OED, 2020), https://public.oed.com/blog/corpus-analysis-of-the-language-of-covid-19/. Accessed 10 Dec 2020 [Google Scholar]
  14. Using corpora to track the language of Covid-19: update 2 (OED, 2020), https://public.oed.com/blog/using-corpora-to-track-the-language-of-covid-19-update-2/. Accessed 10 Dec 2020 [Google Scholar]
  15. COVID-19 Open Research Dataset (CORD-19). Version 2020-05-02 (Allen Institute for AI, 2020), https://pages.semanticscholar.org/coronavirus-research. Accessed 10 May 2020 [Google Scholar]
  16. Ph. Wicke, M. M. Bolognesi, Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter. PLoS ONE 15(9). doi: 10.1371/journal.pone.024prevalent0010 [Google Scholar]
  17. E. Semino, “Not Soldiers but Fire-fighters” - Metaphors and Covid-19. Health Commun. 36(1), (2021). doi: 10.1080/10410236.2020.1844989 [Google Scholar]
  18. M. Silvera-Roig, Lecture: Covid-19 and Conceptual Metaphor Theory: Disease is War (Complutense University of Madrid, 2020), https://youtu.be/jyiWRpd_3qU. Accessed 28 Sept 2020 [Google Scholar]
  19. D. Fernandez-Pedemonte, F. Casillo, A. I. Jorge-Artigau, Communicating COVID-19: Metaphors We “Survive” By. Tripod. 47(2), 145–159 (2020) [Google Scholar]
  20. B. Nerlich. Metaphors in the time of coronavirus, https://blogs.nottingham.ac.uk/makingsciencepublic/2020/03/17/metaphors-in-the-time-of-coronavirus/. Accessed 14 Dec 2020 [Google Scholar]
  21. A. Sirait, K. Seva, Th. R. Lingga, Conceptualizing Corona Virus Metaphor in Media Headlines: a Cognitive Semantic Approach. Eng. Jrnl. Lit. Utama 5(1) (2020). doi: https://doi.org/10.33197/ejlutama.vol5.iss1.2020.477 [Google Scholar]
  22. C. Oswick, D. Grant, R. Oswick, Categories, Crossroads, Control, Connectedness, Continuity, and Change: A Metaphorical Exploration of COVID-19. JABS, 56(3), 284 [Google Scholar]
  23. R. W. Gibbs, Jr. and M. Perlam, in Cognitive Linguistics: Current Applications and Future Perspectives, ed. by G. Kristiansen, M. Achard, R. Dirven, F. J. R. de Mendoza Ibanez (Mouton de Gruyter, Berlin, 2006), p. 215 [Google Scholar]
  24. K. Cmiel, Democratic Eloquence: The Fight Over Popular Speech in Nineteenth century America, University of California Press, Berkley, 1991), p. 21 [Google Scholar]
  25. G. Lakoff, M. Johnson, Metaphors We Live By (The University of Chicago Press, Chicago & London, 1980), p. 3–147 [Google Scholar]
  26. G. Fauconnier, M. Turner, The Way We Think: Conceptual Blending and the Mind’s Hidden Complexities (Perseus Group, New York, 2002), pp. 17–59, 279–298 [Google Scholar]
  27. G. Fauconnier, Ten Lectures on Cognitive Construction of Meaning (BRILL, Leiden, 2018), pp. 94–117 [Google Scholar]
  28. Z. Kovecses, in Extended Conceptual Metaphor Theory (Cambridge University Press, Cambridge, 2020), pp. 93–116 [Google Scholar]
  29. Z. Kovecses, Metaphor and Metonymy at the Crossroads Metaphor (de Gruyter Mouton, Berlin, 2003), pp. 79–92 [Google Scholar]

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