EMOTIVE LANGUAGE IN CLIMATE JOURNALISM: A CASE STUDY OF CNN’S COVERAGE OF EXTREME WEATHER EVENTS
EMOTIVE LANGUAGE IN CLIMATE JOURNALISM: A CASE STUDY OF CNN’S COVERAGE OF EXTREME WEATHER EVENTS
Author(s): Debora NikolovaSubject(s): Social Sciences, Language and Literature Studies, Media studies, Theoretical Linguistics, Communication studies, Semantics
Published by: Шуменски университет »Епископ Константин Преславски«
Keywords: emotive language; emotion analysis; climate journalism
Summary/Abstract: The paper presents a limited corpus analysis of emotive language used in CNN’s climate and weather reporting. The present case study employs critical discourse analysis to explore how natural phenomena are framed as emotionally charged crises through the lens of Martin and White’s Appraisal theory (2005) and figurative language devices. The articles included in the analyzed corpus cover extreme weather events, including winter storms, tornadoes, hurricanes, and extreme heatwaves. The analysis explores implicit lexical devices that evoke emotions such as insecurity and fear. Findings reveal the role of readers’ emotional engagement through the strategic ritual of emotionality in reporting environmental crises.
Journal: Годишник на Шуменския университет "Епископ Константин Преславски". Факултет по хуманитарни науки
- Issue Year: XXXVI/2025
- Issue No: 2
- Page Range: 676-685
- Page Count: 10
- Language: English
