Open AccessThe Analysis of the COVID-19 Image Evolution in English Mass Media Discourse
Author(s) -
Anna Tikhomirova
Publication year - 2022
Publication title -
diskurs professionalʹnoj kommunikacii
Language(s) - English
Resource type - Journals
ISSN - 2687-0126
DOI - 10.24833/2687-0126-2022-4-1-10-20
Subject(s) - covid-19 , pandemic , phenomenon , mass media , semantic analysis (machine learning) , trace (psycholinguistics) , corporation , social media , sociology , political science , history , media studies , linguistics , computer science , law , medicine , artificial intelligence , epistemology , pathology , philosophy , disease , infectious disease (medical specialty)
Starting from January 2020, the whole world and all the people’s professional activities are aected by the COVID-19 pandemic. Since the beginning of the pandemic, the phenomenon of COVID has been analyzed from dierent perspectives. The present study aims to study the evolution of the COVID-19 image in the online mass media discourse on the example of the British Broadcasting Corporation (BBC) news portal. The research employs semantic network analysis to trace the changes in the description of the coronavirus-related articles presented online. Three samples of articles from the period from 2020 to 2022 are randomly collected and subjected to further analysis. As a result, the author concludes, that the image of the COVID pandemic has undergone a signicant change from the distant public health-related phenomenon to one of the legal actors and social activities. The present study contributes to the analysis of the coronavirus pandemic domain in the online mass media discourse and diversies the studies, employing the semantic network analysis approach.