Influential Spanish Politicians' Discourse of Climate Change on Twitter: A Corpus-Assisted Discourse Study.

Abstract

This piece of research explores language use in a sample of unprecedentedly studied discourse which is that of climate change communication by influential Spanish politicians via Twitter. For that purpose, we created a specialized corpus composed of tweets tackling climate change that were posted by influential Spanish politicians during the past decade. Our aim was to reveal prominent linguistic patterns that are susceptible of conveying a specific worldview (i.e.: the wording of reality) of climate change to Twitter users. Our analysis started with keywords analysis in order to gather quantitative data about the lexical choices deployed in our corpus, then by means of qualitative analysis based on semantic classification of keywords and the examination of their concordances we were able to point out distinctive features of our corpus' discourse. Our results have revealed the prevalence of specific linguistic patterns, metaphors and frames that contribute to create a narrative of climate change as a villain and the human race, specifically political leaders, as the saviour.