Abstract
The COVID-19 pandemic has been an ongoing global disaster, which has caused unprecedented social and economic disruptions all around the world. Throughout the stages of the pandemic more than two years, mass media has played a vital role in circulating much of (mis)information regarding the pandemic. As a part of attempts to record social, cultural, and economic impacts of the COVID-19 pandemic, this research aims to pursue a data-based discourse analysis on representations of COVID-19 using data in Coronavirus Corpus developed by Mark Davies. This study examine how various types of texts mediated in English have represented any issues and situations surrounding COVID. We utilize a corpus-oriented discourse analysis framework, which integrates methods of quantity-based corpus linguistics and those of quality- based discourse analysis. The study’s implications on English education are also pursued.
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