Development and Application of the Discursive News Analysis (DNVA) Theoretical Framework in Discourse of News Values

Abstract

The Discourse News Value Analysis (DNVA) framework builds on Dr. Calpe's study of Graltung and Ruge's 12 'news factors,' which examines news value from a linguistic perspective. It focuses on the significance of discourse and images to the definition of news value, with a central focus on the value of news itself. This paper analyses three case studies by Caple and Bednarek, the BBC News website, and ABC News' coverage of the death of Osama bin Laden and the 2011 Queensland floods. The first two case studies focus on the DNVA framework, which can only target selected words and phrases and simultaneously analyze their nature and usage. The latter extends the information analysis approach formed by a computer-assisted corpus with multiple levels, news integration, and structure to improve overall screening efficiency and more accurate news value analysis. The concept of 'corpus-assisted multimodal discourse analysis' (CAMDA), which emerged from this theoretical approach, uses computer-assisted technology to help analyze content from multiple online news and social platforms. This research model could be used to explore future symbolic meanings created by different media formats.