Sami, Ishrat; Russell-Rose, Tony and Soldatova, Larisa. 2023. 'A Cognitive Theoretical Approach of Rhetorical News Analysis'. In: Text2Story - Sixth Workshop on Narrative Extraction from Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023). Dublin, Ireland 2 April 2023. [Conference or Workshop Item]

Preview

Text paper16.pdf - Published Version Available under License Creative Commons Attribution. Download (994kB) | Preview

Abstract or Description

The storytelling narrative is the key to conveying an author's opinion and argument about a specific topic to intended readers. A good narrative not only conveys the underlying message but also leads readers to a better conceptual understanding of the discussed topic. Stories play a vital role in understanding through their chronological style of reporting. Similarly, to gain readers’ attention from beginning to end, news agencies generally adopt an inverted pyramid structure where a story starts with stating the most important material. The facts of news are encapsulated in fve basic questions Who, Where, What, When and Why which are fundamental for any news readers' understanding. Distributions of the categorical facts of the news correlate to the answers to What, When, Where and Who questions and the answer to Why is correlated to the authors' argumentation and evidence. In this paper, we presented a theory of mapping 5Ws and Aristotle's Rhetoric into the format of Joseph Campbell's The Hero's Journey as a structural story template to assist in automatic understanding of the structure of news and evaluated the approach via cognitive reading and writing user experiment tasks.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Narrative Representation, Storytelling, Visualization
Departments, Centres and Research Units:	Computing
Dates:	Date Event 2 April 2023 Published
Event Location:	Dublin, Ireland
Date range:	2 April 2023
Item ID:	33562
Date Deposited:	31 May 2023 08:22
Last Modified:	31 May 2023 08:28
URI:	https://research.gold.ac.uk/id/eprint/33562

View statistics for this item...

Edit Record (login required)