Par : Antoine Claude Lemor, Alizée Pillod, Matthew Taylor et Richard Nadeau
News media shape how societies perceive and respond to climate change, yet fine-grained analysis remains hindered by fragmented corpora and ad hoc coding schemes. The Canadian Climate Framing (CCF) database answers both with a large-scale bilingual annotated corpus and a generalizable annotation framework. It covers 283,964 climate-related articles from 22 Canadian news outlets (1978–2026), processed into 9,908,776 two-sentence units (83.4% English, 16.6% French). Each unit carries 65 hierarchical binary annotations spanning eight main frames, actors, events, solutions, tone, geography, and urgency, produced by 128 BERT and CamemBERT classifiers trained on 4,000+ expert-coded sentences.