Corpus-assisted ecolinguistics and media framing: mapping climate narratives in Bangladesh

Abstract This study employs a corpus-assisted ecolinguistic analysis of Bangladeshi media discourse to reveal the frames of climate news. Drawing on a corpus of national English-language newspapers, the analysis examines the collocations and semantic fields of key terms such as climate , finance , adaptation , and loss and damage . By integrating corpus-assisted ecolinguistic approach with framing theory, the study identifies how linguistic choices construct relationships between environment, economy, and national identity. The findings show that climate discourse in Bangladesh is predominantly economized, aligning environmental recovery with financial growth and policy frameworks rather than ecological restoration. Representations of justice and adaptation are often reframed as matters of funding and investment, thereby translating moral and ecological imperatives into administrative and fiscal concerns. The analysis also shows that nonhuman nature has limited agency, as human-centered narratives of governance, progress, and responsibility remain dominate. By uncovering these discursive patterns, the study demonstrates how national media normalizes particular narratives of climate action and sustainability, thereby shaping the moral and political conceptions of environmental responsibility in the Global South.