This paper analyses climate change discourse in legacy newspapers from France, Germany, the UK, and the US between 2005 and 2022. Using corpus linguistics and named entity recognition, we develop a robust methodology to build and analyse a large-scale corpus of relevant news articles. We focus on the question: Who speaks about climate change? The paper has five aims: (1) to introduce a method for creating a comprehensive and focused corpus of climate-related news; (2) to analyse this corpus using specialised tools; (3) to compare the most visible individuals and organizations across four countries from 2005 to 2022; (4) to analyse cross-national similarities and differences over time; and (5) to compare our findings to previous research.
Grundmann et al. (Mon,) studied this question.