International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 9, Issue 9 (September 2022), Pages: 9-16

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 Original Research Paper

Transitivity analysis of news texts on the Saudi ministry of health website: An investigation of health guidelines during COVID-19

 Author(s): Mohammad Husam Alhumsi 1, *, Salah Alshagrawi 2

 Affiliation(s):

 1Department of English Language and Translation, Saudi Electronic University, Riyadh, Saudi Arabia
 2Public Health Department, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-0189-4443

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.09.002

 Abstract:

The aim of this study is to investigate the awareness-raising activities and the health guidelines for protection from new coronavirus during this pandemic reported on the Ministry of Health website in Saudi Arabia. To achieve this aim, the study employs critical discourse analysis (CDA) of Halliday’s theory of transitivity process types adopted as a framework of news text. Literature showed that discourse analysis is an interdisciplinary area of investigation and an increasingly popular domain strategy for scholars in different fields. However, such a strategy has been little adopted by healthcare researchers. To analyze the transitivity process types (namely material, mental, verbal, relational, behavioral, and existential), quantitative and qualitative approaches were employed to get a better understanding of transitivity process types related to the news texts. Like other studies, the findings revealed that the material process type (60%) highly dominated the discourse in the two news texts. This implies the powerful role of events and actions to be undertaken. Unlike the first news text, the second news text however contains the behavioral process to meticulously highlight public awareness and action. Investigating participants’ roles as well as circumstances components may offer more data appropriate for further research.

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Coronavirus (COVID-19), Discourse analysis, News texts, The Saudi ministry of health, Transitivity analysis

 Article History: Received 9 March 2022, Received in revised form 27 May 2022, Accepted 27 May 2022

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Alhumsi MH and Alshagrawi S (2022). Transitivity analysis of news texts on the Saudi ministry of health website: An investigation of health guidelines during COVID-19. International Journal of Advanced and Applied Sciences, 9(9): 9-16

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 References (30)

  1. Al-Ghamdi NA (2021). Ideological representation of fear and hope in online newspaper reports on COVID-19 in Saudi Arabia. Heliyon, 7(4): e06864. https://doi.org/10.1016/j.heliyon.2021.e06864   [Google Scholar] PMid:33997397 PMCid:PMC8102415
  2. Alhumsi MH, Suliman EA, Sendi KK, and Alshaye RA (2021). Transitivity analysis of university news texts during the coronavirus pandemic: Transitivity analysis of university news texts. Argentinian Journal of Applied Linguistics, 9(2): 2314-3576.   [Google Scholar]
  3. Alshammari TM, Altebainawi AF, and Alenzi KA (2020). Importance of early precautionary actions in avoiding the spread of COVID-19: Saudi Arabia as an example. Saudi Pharmaceutical Journal, 28(7): 898-902. https://doi.org/10.1016/j.jsps.2020.05.005   [Google Scholar] PMid:32641902 PMCid:PMC7242187
  4. Al-Tawfiq JA and Memish ZA (2020). COVID-19 in the Eastern Mediterranean region and Saudi Arabia: Prevention and therapeutic strategies. International Journal of Antimicrobial Agents, 55(5): 105968. https://doi.org/10.1016/j.ijantimicag.2020.105968   [Google Scholar] PMid:32259576 PMCid:PMC7271262
  5. Anderson RM, Heesterbeek H, Klinkenberg D, and Hollingsworth TD (2020). How will country-based mitigation measures influence the course of the COVID-19 epidemic? The Lancet, 395(10228): 931-934. https://doi.org/10.1016/S0140-6736(20)30567-5   [Google Scholar]
  6. Banks D (2002). Systemic functional linguistics as a model for text analysis. ASP, (35-36): 23-34. https://doi.org/10.4000/asp.1584   [Google Scholar]
  7. Bartley LV (2018). Justice demands that you find this man not guilty: A transitivity analysis of the closing arguments of a rape case that resulted in a wrongful conviction. International Journal of Applied Linguistics, 28(3): 480-495. https://doi.org/10.1111/ijal.12227   [Google Scholar]
  8. Beare K (2019). Nursing and healthcare English vocabulary. ThoughtCo. Available online at: https://www.thoughtco.com/nursing-and-healthcare-vocabulary-1210353
  9. Cheng C, Barceló J, Hartnett AS, Kubinec R, and Messerschmidt L (2020). COVID-19 government response event dataset (CoronaNet v. 1.0). Nature Human Behaviour, 4: 756-768. https://doi.org/10.1038/s41562-020-0909-7   [Google Scholar] PMid:32576982
  10. Darani LH (2014). Persuasive style and its realization through transitivity analysis: A SFL perspective. Procedia-Social and Behavioral Sciences, 158: 179-186. https://doi.org/10.1016/j.sbspro.2014.12.066   [Google Scholar]
  11. Eggins S (2004). Introduction to systemic functional linguistics. A&C Black, London, UK.   [Google Scholar]
  12. Halliday MA (1967). Notes on transitivity and theme in English: Part 2. Journal of Linguistics, 3(2): 199-244. https://doi.org/10.1017/S0022226700016613   [Google Scholar]
  13. Halliday MA (2000). An introduction to functional grammar. Foreign Language Teaching and Research Press, Beijing, China.   [Google Scholar]
  14. Halliday MAK (1978). Language as social semiotic: The social interpretation of language and meaning. Hodder Education, London, UK.   [Google Scholar]
  15. Halliday MAK and Webster JJ (2014). Text linguistics: The how and why of meaning. Equinox Publishing Ltd., London, UK.   [Google Scholar]
  16. Halliday MAK, Matthiessen CM, Halliday M, and Matthiessen C (2014). An introduction to functional grammar. 3rd Edition, Routledge, London, UK. https://doi.org/10.4324/9780203783771   [Google Scholar]
  17. Jabeen D, Rahim I, Iftikhar R, Rafiullah M, and Ansari M (2022). Regression modeling and correlation analysis spread of COVID-19 data for Pakistan. International Journal of Advanced and Applied Sciences, 9(3): 71-81. https://doi.org/10.21833/ijaas.2022.03.009   [Google Scholar]
  18. Renkema J (2004). Introduction to discourse studies. John Benjamins Publishing, Amsterdam, Netherland. https://doi.org/10.1075/z.124   [Google Scholar]
  19. Sasot CF, Nicomedes CJC, Marcos RG, Perez AJD, Aganan JB, and Fernando MMM (2020). A discourse analysis on class cancellations during the COVID-19 pandemic.‏ https://doi.org/10.13140/RG.2.2.34571.03364    [Google Scholar]
  20. Tian X (2018). Critical discourse analysis of news reports-based on the guardian news report of China's military parade to mark the 70 years of second world war. Theory and Practice in Language Studies, 8(4): 433-444. https://doi.org/10.17507/tpls.0804.11   [Google Scholar]
  21. van Dijk TA (1993). Principles of critical discourse analysis. Discourse and Society, 4(2): 249-283. https://doi.org/10.1177/0957926593004002006   [Google Scholar]
  22. van Dijk TA (2011). Discourse, knowledge, power and politics. In: Hart C (Ed.), Critical discourse studies in context and cognition: 27-63. Volume 43, John Benjamins Publishing, Amsterdam, Netherlands. https://doi.org/10.1075/dapsac.43.03van   [Google Scholar]
  23. Walliman N (2010). Research methods: The basics. Routledge, ‏London, UK. https://doi.org/10.4324/9780203836071   [Google Scholar]
  24. WHO (2020). WHO COVID-19 dashboard. World Health Organization, Geneva, Switzerland.   [Google Scholar]
  25. WHO (2021). Coronavirus disease (COVID-2019) situation reports. World Health Organization, Geneva, Switzerland.   [Google Scholar]
  26. Willig C (2008). Introducing qualitative research in psychology. 2nd Edition, Open University Press (McGraw-Hill), New York, USA.   [Google Scholar]
  27. Yang P and Wang X (2020). COVID-19: A new challenge for human beings. Cellular and Molecular Immunology, 17(5): 555-557. https://doi.org/10.1038/s41423-020-0407-x   [Google Scholar] PMid:32235915 PMCid:PMC7110263
  28. Yazdannik A, Yousefy A, and Mohammadi S (2017). Discourse analysis: A useful methodology for health-care system researches. Journal of Education and Health Promotion, 6: 111. https://doi.org/10.4103/jehp.jehp_124_15   [Google Scholar] PMid:29296612 PMCid:PMC5747223
  29. Yule C U (2014). The statistical study of literary vocabulary. Cambridge University Press, Cambridge, UK.   [Google Scholar]
  30. Zhao M and Zhang Y (2017). A transitivity analysis of American President Donald J. Trump’s inaugural address. International Journal of Liberal Arts and Social Science, 5(5): 31-43.   [Google Scholar]