Corpus-Driven Analysis of Pakistani Newspaper Editorials on COVID-19 Discourse

Tehseen Zahra, Akhtar Abbas

Abstract


Cataclysmic changes by the gradual spread of COVID-19 have triggered the interest of scientists, scholars, academicians, and linguists in analyzing the discourse related to the spread of the pandemic. The descriptions made by all of these scholars not only contribute to language with linguistic innovations but also cause the emergence of human attitudes and behaviours. At the same time, the issues raised through the language used during the challenging time of such crises shape and reveal several human schemas of language, discourse, society, and culture. Several studies on past situations of diseases and calamities have provided critical analyses of these schemas of difficult times in human history. Discourses through various linguistic practices in this regard play a crucial role in shaping and demonstrating the schemas of the crisis hit societies.  Media discourse, specifically, has hidden powers to exercise, identify and report various socio-cultural issues. The current study focuses on finding the themes of socio-cultural attitudes and behaviours that emerged from newspaper editorials published in Pakistani newspapers in February, March and April, 2020. To achieve this goal, the corpus-driven analysis of 198 newspaper editorials having 215,842 words was conducted. The study revealed various themes that prevailed in this pre-vaccination period of COVID-19 in Pakistan. The themes included the metaphoric use of the language such as battle, corps and frontline; racism while naming the virus as China virus or Hazara virus; conspiracy theories assumed to be associated with COVID-19 spread i.e. suspected involvement of Bill Gates and the Centers for Disease Control (CDC), US and World Health Organization (WHO); negligence on the part of people; and criticism on government for health facilities and implications of globalization. It is concluded, based on these findings, that media representation of pre-vaccination phase of COVID-19 in Pakistan is loaded with unhealthy discourse which could have been avoided in order to shape positive attitudes and behaviours of the masses.   


Keywords


COVID-19; Corona; Corpus-driven analysis; Pakistan; Editorials

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References


Ahmed, N. H. and Islam, M. (2020). Influence of COVID-19 on the Lexical Features of English in Pakistan . Linguistics and Literature Review. 6(2). 143-157.

Anthony L. (2016), AntConc (3.4.4), Waseda University, Tokyo. http://www.laurenceanthony.net/

Briggs, C. L. (2020). Beyond the linguistic/medical anthropology divide: Retooling anthropology to face COVID-19. Medical Anthropology. 39(10). 563-572.

Baker, P. 2006. Using Corpora in Discourse Analysis. London: Continuum.

Cohn, S. K. (2012). Pandemics: Waves of disease, waves of hate from the plague of Athens to AIDS. Historical Research, 85(230), 535-555. https://doi.org/10.1111/j.1468-2281.2012.00603.x

Oxford English Dictionary (2020, April 15). Corpus analysis of the language of Covid 19. https://public.oed.com/blog/corpus-analysis-of-the-language-of-covid-19/

Dar, S. R. (2021). A Corpus Analysis of Metaphorical Expressions in Covid-19 Open Research Dataset (CORD19). CORPORUM: Journal of Corpus Linguistics, 4(2), 19-38.

Fairclough, N. (2013). Critical discourse analysis: The critical study of language. London. Routledge.

Gewirtz, J. (2020). ‘Loving Capitalism Disease’: Aids and Ideology in the People’s Republic of China, 1984–2000. Past & Present, 249(1), 251-294.

Hunston, S. (2020, April 8). Changing language in unprecedented times. Retrieved from https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/news/2020/changing-language.aspx

Ijaz, M., Tahir, A., & Ahmed, S. (2021). A Corpus-based Multidimensional Analysis of Linguistic Variation in Pakistani Newspapers Columns of Opinion during COVID-19. CORPORUM: Journal of Corpus Linguistics, 4(2), 59-75.

Javed, R. T., Shuja, M. E., Usama, M., Qadir, J., Iqbal, W., Tyson, G., ... & Garimella, K. (2020, December). A first look at covid-19 messages on whatsapp in pakistan. In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 118-125). IEEE.

Jo, W., Lee, J., Park, J., & Kim, Y. (2020). Online information exchange and anxiety spread in the early stage of the novel coronavirus (COVID-19) outbreak in South Korea: Structural topic model and network analysis. Journal of Medical Internet Research. 22(6). 1-20.

Keyes, S. (2018). Western adventurers and male nurses: Indians, Cholera, and Masculinity in overland trail narratives. Western Historical Quarterly, 49(1), 43-64.

Newman, K. L. (2012). Shutt up: Bubonic plague and quarantine in early modern England. Journal of Social History, 45(3), 809-834.

Nor, N. F. M., & Zulcafli, A. S. (2020). Corpus Driven Analysis of News Reports about COVID-19 in a Malaysian Online Newspaper. GEMA Online® Journal of Language Studies, 20(3), 199-220.

Paton, B. (2020, April 9). Social change and linguistic change: the language of COVID-19. Retrieved from Oxford English Dictionary: https://public.oed.com/blog/the-language-of-COVID-19/

Rafi, M. S. (2020). Dialogic content analysis of misinformation about COVID-19 on social media in Pakistan. Linguistics and Literature Review, 6(2), 131-143.

Rasool, S., Jan, A., & Noreen, R. (2021). Disease and Conceptual Metaphors: A Corpus Analysis of English Newspaper Articles Related to COVID-19. CORPORUM: Journal of Corpus Linguistics, 4(2), 95-111.

Rajandran, K. (2020). ‘A Long Battle Ahead’: Malaysian and Singaporean Prime Ministers Employ War Metaphors for COVID-19. GEMA Online® Journal of Language Studies, 20(3), 261-267.

Smyth, C. (2016). An introduction to corpus linguistics. Bulletin of Tokyo Denki University, Arts and Sciences, 14, 105-110.

Su, Y., Xue, J., Liu, X., Wu, P., Chen, J., Chen, C., Liu, T., Gong, W., & Zhu, T. (2020). Examining the impact of COVID-19 lockdown in Wuhan and Lombardy: A psycholinguistic analysis on weibo and twitter. International Journal of Environmental Research and Public Health, 17(12), 1-10.

World Health Organization (June 26, 2020). Global literature on coronavirus disease. Retrieved from https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov

Zahra, T., & Abbas, A. (2020). Development of Gender-based Pakistani Academic Word List (G-PAWL). Journal of Social Sciences & Humanities. 28(2), 113-134.




DOI: http://dx.doi.org/10.17576/gema-2022-2201-02

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