Tracking causal relations in the news: data, tools, and models for the analysis of argumentative statements in online media

Abstract Online debates and debate spheres challenge our assumptions about democracy, politics, journalism, trust, truth in ways that make them a necessary object of study. In the present article, we argue study online arguments can benefit from an interdisciplinary approach combines computational methods for text analysis with conceptual models opinion dynamics. The article thereby seeks to methodological contribution field by highlighting role domain-crossing causal statements societal interest, providing method automatically mining such textual corpora on web. illustrates relevance this means case which analyse cross-cutting climate change energy technologies comment section newspaper Guardian. support study, use data are made openly available through Penelope ecosystem tools techniques social science.