The language of leadership at the onset of COVID-19 global crisis: A corpus-based and critical discourse analysis of six political leaders’ speeches

How they used Delve

A doctoral researcher at the University of the Philippines Diliman used Delve to code the textual patterns surfaced by corpus analysis of a 50,000-word corpus of six world leaders' early COVID-19 speeches, pairing the coding with AntConc concordance work in a corpus-assisted critical discourse analysis.

“Data were analyzed using AntConc and Delve tool. AntConc is a freeware corpus analysis toolkit for concordance and text analysis created by Laurence Anthony in 2004, and Delve (Delve, 2022) tool is used for qualitative data coding of the derived textual patterns.”

Field

Critical discourse analysis / political crisis communication

Data

A specialized corpus of over 50,000 words of English-language speeches and official statements delivered January to May 2020 by Narendra Modi, Jacinda Ardern, Lee Hsien Loong, Moon Jae-in, Rodrigo Duterte and Donald Trump

Approach

Corpus-assisted critical discourse analysis: lexical and frequency analysis, collocation and concordance in AntConc, then thematic and rhetorical analysis following Fairclough's three-dimensional CDA model, with the qualitative coding done in Delve as a complement to the quantitative corpus procedures

Data types

Documents