Media's Voice in the Noice of Covid-19 Outbreak in the United States: A Corpus Based Study

  • Sahar Javed University of management and technology, Sialkot sub campus

Abstract

This research explores the effect of media broadcasting during the covid-19 outbreak in the United States. To find out facts and figures related to broadcasting news, a methodology based on corpus linguistics and CDA is used for analyzing data. The data is taken from the covid-19 corpus by Sketch Engine, where verb collocates of the keyword “pandemic” were chosen to reveal prosodies behind the covid-19 outbreak. Moreover, verb collocates were categorized into four themes e.g. coronavirus outbreak, coronavirus transmission, death toll, and isolation. The frequencies of these categories were investigated through English corpora, which was a monitor corpus, giving regular updates on the covid-19 situation. While two highly frequent verb collocates “pandemic caused and pandemic occurs” were analyzed in more detail by checking out concordances in a qualitative way. The study sheds light on the media’s positive role in making people aware of the deadliest outcomes of coronavirus. However, fear of misinformation remains, which can be resolved by accessing scientific facts and figures and by neglecting conspiracy theories.

Published
2021-04-02
How to Cite
JAVED, Sahar. Media's Voice in the Noice of Covid-19 Outbreak in the United States: A Corpus Based Study. University of Chitral Journal of Linguistics & Literature, [S.l.], v. 4, n. II, p. 109-127, apr. 2021. ISSN 2663-1512. Available at: <https://jll.uoch.edu.pk/index.php/journal10/article/view/242>. Date accessed: 17 sep. 2021. doi: https://doi.org/10.33195/jll.v4iII.242.