Covid-19 Insights and Linguistic Methods

Kim Hua Tan, Peter Woods, Hazita Azman, Imran Ho Abdullah, Ruzy Suliza Hashim, Hajar Abdul Rahim, Mohd Muzhafar Idrus, Nur Ehsan Mohd Said, Robert Lew, Iztok Kosem


The emergence of COVID-19 affects the world population in many ways, resulting in its own specialised discourse. In addition to providing a source of data for analysis, this discourse has also led to a rethinking of multifarious research methods. This section presents a series of articles by scholars from different parts of the world with macro- and micro-linguistic perspectives, ranging from corpus-based analysis to content analysis studies.  At the macro level, these scholars explored ways through which government bodies communicate with the public. Official announcements, parliamentary proceedings and COVID-19-related corpora are examined and a comparative textual analysis between the Malaysian and British governments is provided. At the micro level, the scholars analysed selected corpora with lexical, semantic, and discourse foci and personal posts of short narratives and photos to encapsulate meanings from human life and experience. The main takeaway from these studies is the application of a wide range of methods for different focus and perspectives that may be customised to the researcher’s unique context.


Keywords: COVID-19, corpus-based approach, comparative textual analysis, qualitative content analysis, lexical neologism

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Abdullah, I. H., Rahman, A. N. C. A., & Jaludin, A. (2017). The Malaysian Hansard Corpus. Culturomics Workshop UKM. 27 April 2017.

Achrekar, H., Gandhe, A., Lazarus, R., Yu, S.H., & Liu, B. (2011). Predicting flu trends using Twitter data In IEEE Conference on Computer Communications Workshops (INFOCOM

WKSHPS), Shanghai (pp. 702–707). doi: 10.1109/INFCOMW.2011.5928903.

Ahmed, S. (2006). Orientations: Toward a queer phenomenology. GLQ: A Journal of Lesbian and Gay Studies, 12(4), 543-574.

Ang, L. H., & Tan, K. H. (2018). Specificity in English for Academic Purposes (EAP): A Corpus Analysis of Lexical Bundles in Academic Writing. 3L The Southeast Asian Journal of English

Language Studies, 24(2), 82–94. doi: 10.17576/3l-2018-2402-07.

Ang, L. H., & Tan, K. H., He, M. (2017). A corpus-based collocational analysis of noun premodification types in academic writing. 3L The Southeast Asian Journal of English Language

Studies, Vol 23(1): 115 – 131.

Azlan, A. A., Hamzah, M. R., Sern, T. J., Ayub, S. H., & Mohamad, E. (2020). Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia. PLoS ONE,

(5): e0233668. Retrieved from

Broniatowski, D. A., Paul, M. J., & Dredze, M. (2013). National and local influenza surveillance through Twitter: An analysis of the 2012-2013 influenza epidemic. PLoS One. 8(12): e83672.

doi: 10.1371/journal.pone.0083672.

Byrne, J. P. (2012). Encyclopedia of the Black Death. Santa Barbara, CA: ABC-CLIO. p. xxi. ISBN 978-1598842531.

Cartier, E. (2019). Neoveille, web platform for finding and monitoring neologisms in monitor corpora. Neologica. 13, 23–54.

Chen, N. (2020). View From My Window. Columbia Broadcasting System (CBS). Retrieved from


Choi, C. J. (2018). Ancient, Unknown Strain of Plague Found in 5,000-Year-Old Tomb in Sweden. Retrieved from

Cook, P., Lau, J. H., Rundell, M., McCarthy, D., & Baldwin, T. (2013). A lexicographic appraisal of an automatic approach for detecting new word senses'. In Kosem, I., J. Kallas, P. Gantar, S.

Krek, M. Langemets and M. Tuulik (Eds.), Electronic lexicography in the 21st century: Thinking outside the paper. Proceedings of eLex 2011 (pp. 49–65), Ljubljana; Tallinn: Trojina,

Institute for Applied Slovene Studies; Eesti Keele Instituut. . Retrieved from

Corpus analysis of the language of Covid-19. (2020). Retrieved from

Davis, M. (2020). The Coronavirus Corpus. Retrieved from

Diaz-Aviles, E., & Stewart, A. (2012). Tracking Twitter for epidemic intelligence: Case study: EHEC/HUS outbreak in Germany, 2011. In Proceedings of the 4th Annual ACM Web Science

Conference (WebSci ’12) (pp. 82–85) New York: Association for Computing Machinery. doi: 10.1145/2380718.2380730.

Ferguson, N. M., Laydon, D., Nedjati-Gilani, G., et al. (2020) Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College

London. Retrieved from

Fišer, D., & Ljubešić, N. (2019), Distributional modelling for semantic shift detection. International Journal of Lexicography 32(2), 163–183, doi: 10.1093/ijl/ecy011.

Hua, J., & Shaw, R. (2020). Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: the Case of China. International Journal of Environmental Research and Public

Health, 1-12

Idrus, M. M., Hashim, R. S., & Mydin, R. M. (2017). Rediscovery of the Malay ‘local’: Youth and TV fiction in Malaysia. International Journal of Adolescence and Youth, 22(2), 210-225. doi:

Idrus, M. M., Hashim, R. S., & Mydin, R. M. (2020). Postcolonial civic identity and youth (dis)organizing environment: A growth into citizenship analysis. GEMA Online Journal of Language

Studies, 20(2), 133-147. doi:

Inagaki, T. K., Bryne, H. K. E., Suzuki, S., Jevtic, I., Hornstein, E. Bower, J. E., & Eisenberger, N. I. (2016). The Neurobiology of Giving Versus Receiving Support. Psychosomatic Medicine.

DOI: 10.1097/PSY.0000000000000302

Jahanbin, K., & Rahmanian, V. (2020). Using Twitter and web news mining to predict COVID-19 outbreak. Asian Pacific Journal of Tropical Medicine 2020, 1–3. doi: 10.4103/1995-


Jeffries, L., & Walker, B. (2017). Keywords in the Press: The New Labour Years. London: Bloomsbury

Jeffries, L., & Walker, B. (2019). Austerity in the Commons: A corpus critical analysis of ‘austerity’ and its surrounding grammatical context in Hansard (1803–2015). In K. Power, T. Ali, &

E. Lebdušková (Eds.), Discourse Analysis and Austerity: Critical Studies from Economics and Linguistics (pp. 53 – 80) Oxford: Routledge, Taylor & Francis Group.

Kilgarriff, A., Rychlý, P., Smrž P., & Tugwell, D. (2004). The Sketch Engine. In Williams G. & S. Vessier (Eds.), Proceedings of the Eleventh EURALEX International Congress, EURALEX 2004,

Lorient, France, July 6-10, 2004 (pp. 105–116). Lorient: Faculté des Lettres et des Sciences Humaines, Université de Bretagne Sud.

Kimball, W. (2020). “View From My Window” Is the Last Good Group on Facebook. Gizmodo. 24 April. Retrieved from

on-faceboo-1843042911. Accessed 11 June 2020.

Langton, K. (2020). China lockdown: How long was China on lockdown? Express. 30 May. Retrieved from


Lexico. (n.d.) Retrieved from

Lexico, (n.d.) Retrieved from

Lopez, C. E., Vasu, M., & Gallemore, C. (2020). Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset. Retrieved from

Mahbubani, R., & Varinsky, D. (2020). How Italy spiralled from a perfectly healthy country to near collapse in 24 days as the coronavirus took hold. Business Insider. March 14. Retrieved

from Accessed 11 June 2020.

Merriam-Webster Dictionary. (n.d.) Retrieved from

Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. (2020, April 2). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020.

PsyArXiv, 2 Apr. 2020. Web.

Miller, E. D. (2020) The COVID-19 Pandemic Crisis: The Loss and Trauma Event of Our Time. Journal of Loss and Trauma. DOI: 10.1080/15325024.2020.1759217

Nor, N. F., Rahman, A. M., Jaluddin, A., & Abdullah, I. H., & Tiun, S. (2019). A Corpus Driven Analysis of Representations Around the Word ‘ekonomi’ in Malaysian Hansard Corpus. Gema

Online Journal of Language Studies, 19(4), 66-95. DOI:

Pei, S., Kandula, S., & Shaman, J. (2020) Differential effects of intervention timing on COVID-19 spread in the United States. Department of Environmental Health Sciences, Mailman

School of Public Health, Columbia University. Paper in collection COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv. Retrieved from

Pollak, S., Gantar, P., & Holdt, S. A. (2019). What's new on the internetz? Extraction and lexical categorisation of collocations in Computer-Mediated Slovene. International Journal of

Lexicography, 32(2), 184–206. doi: 10.1093/ijl/ecy026.

Sault, S. (2020). Why lockdowns can halt the spread of COVID-19. World Economic Forum. Geneva.


Scucchi, J. (2015). A place for the personal: Autobiographical literary criticism through the lens of transformative learning [Unpublished master’s thesis]. Utah State University, Logan,

Utah, United States of America.

Sketch Engine (2020). Corpus-19 Corpus. Retrieved from

Social change and linguistic change: the language of Covid-19. (2020). Retrieved from the-language-of-covid-19/

Trampuš, M., & Novak, B. (2012). The internals of an aggregated web news feed. In Proceedings of 15th Multiconference on Information Society 2012 (IS-2012) (pp. 221–224).

University of South Florida-Nielsen. (2020). Sunshine state survey on public opinion on COVID-19 response. University of South Florida. Pp. 1-13. May 13, 2020.

View From My Window. (2020). Facebook. Retrieved from Accessed 11 June 2020.

WHO Coronavirus Disease Dashboard. (2020). Retrieved from

WHO. (2020, March 11). World Health Organisation announces Covid-19 outbreak a pandemic [Press release]. Retrieved from www.euro,>health-topics

Wiederhold, B. K. (2020). Using Social Media to Our Advantage: Alleviating Anxiety During a Pandemic. Cyberpsychology, Behavior, and Social Networking. Volume 23: Number 4. pp. 197-

Wilson, A., Archer, D., & Rayson, P. (2006). Corpus linguistics around the world. Amsterdam: Rodopi.

Yale University. (n.d.) Emergency Management. Retrieved from



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