Affiliation:
1. Grenoble Alpes University
Abstract
Abstract
While media coverage of climate change has been shown to imply selective knowledge transformation (Carvalho 2007; Brand & Brunnengräber 2012;
Kunelius & Roosvall 2021), studies assessing the potential for climate experts’
terminology to acquire ideological undertones as it enters mediatic discourses are still scarce. Through this article, we aim to
compare the meaning climate experts and the media give to terms pertaining to climate change in English discourses and to
determine whether potential cotextual variation in the discourses produced by these two communities have ideological implications.
To this aim, we use the deep learning algorithm Word2vec (Mikolov et al. 2013; González
Granado 2021) to identify terms whose cotext of occurrence is prone to high variability depending on whether it is included
in a newspaper corpus on climate change or one composed of reports from intergovernmental organizations. We then rely on
statistical tools from corpus linguistics to compare the main co-occurrences of two of the terms identified –
adaptation and energy security –, which we combine with Critical Discourse Analysis (Baker
et al. 2008) to interpret the variation in terms of meaning and ideological significance. Results suggest that the appropriation
of expert terminology by the media does entail a certain degree of conceptual variation, which notably seems to allow for bringing
issues of social justice, financing and energy transition into focus and assessing expert knowledge along those lines.
Publisher
John Benjamins Publishing Company