Corpus Analysis of Fear Syndromic Language of Media: Corona Transmogrification (New Covid-2) Perspective

Abstract

This rigorous study attempts corpus linguistics sifting of the patronized chunks in the fear syndromic (fear-driven) language of media. The Sars covid-19 with its transmogrification into a new covid-2 (B117) has been horrifying since its inception. It has not only resulted in millions of causalities but also horrified and even agonized the world over. Media—the active source—reports corona’s havoc
with the language that has often been criticized by the govt. agencies or other sympathizers as fearmongering or scary. The corona coinages and emogis in fear syndromic perspective proffer a new terminologies and shift of language expressions. The study intends to analyse this media language by filtering fear connected chunks interacted by the masses in the scary pandemic era. This study develops a new corpus based analysis of news articles published in the electronic media. The analysis, primarily, rests on working with POS tagging, frequencies and collocation that are calculated by the use of Sketch-Engine. The qualitative and quantitative analysis help in identifying new gizmo terms in a language play. This study also attempts to find how a language learner enhances or materializes his language skill by interacting with this media language. The study limits its scope in the identification of the collocations and concordances in the ‘fear’ perspective.