Unsupervised NLP for quantifying sentiment deviation and framing in global climate discourse
Climate change news coverage varies by region and media organization. These differences show in the way news is framed, the themes chosen, and communication priorities. This study suggests a scalable and unsupervised natural language processing (NLP) framework to measure sentiment changes and framing patterns in glob...