Corpus linguistic analysis reveals how Bangladeshi newspapers shape climate change narratives, indicating a mix of scientific credibility and emotive resonance.
Key Points
The study aims to explore how climate change is articulated in Bangladeshi national newspapers through various socio-political ideoms.
Applied corpus linguistic analysis to 350 opinion essays and news reports from Bangla dailies between 2020-2025.
Compiled a dataset with approximately 400,000 tokens to investigate discursive patterns.
Analyzed keyword and concordance patterns to reveal economic framing and narrative structures.
Identified a hybrid discursive framework blending scientific credibility with emotional appeal.
Revealed a focus on local lived vulnerability and infrastructural resilience rather than global policies.
Showed a tendency to marginalize grassroots perspectives in favor of elite-driven narratives.