Abstract
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.
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