Comprehensive contextual visualization of a news archive for aiding story planning

Sami, Ishrat; Russell-Rose, Tony and Soldatova, Larisa. 2022. 'Comprehensive contextual visualization of a news archive for aiding story planning'. In: Text2Story 2022. Stavanger, Norway 10 April 2022. [Conference or Workshop Item]

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Abstract or Description

Writing is a complex mental process of generating ideas and organizing the flow of information to convey the intended message to the appropriate audience for educating, enriching or entertaining. Strategic story planning in the pre-writing phase can enrich the quality of writing. The facts of news are encapsulated in five basic questions "Who", "Where", "What", "When" and "Why" which are fundamental for any readers’ understanding. Focusing on these 5Ws, this paper demonstrates visualizations designed to provide cognitive guidance for planning editorial news stories that require comprehensive analysis using a news archive. The visualizations are contextual: global (considering the whole archive), relative (considering topic-based news collection) and local (considering single news). Global context visualizations are designed to aid the identification of a historically important or a decaying topic of interest that can be beneficial to review/compare against raising new topic s in the current time. On selecting a topic, a relative context Terms Board is produced to aid brainstorming in the pre-writing phase. During reviewing related documents presented via Terms Board, Local Context visualization is presented to aid in recalling strategic terms' emphasis in the selected news.

Item Type:

Conference or Workshop Item (Paper)

Keywords:

Natural Language Processing, Visualization, Story Planning, News Writing

Related URLs:

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
10 April 2022Published

Event Location:

Stavanger, Norway

Date range:

10 April 2022

Item ID:

31833

Date Deposited:

13 May 2022 11:22

Last Modified:

13 May 2022 11:22

URI:

https://research.gold.ac.uk/id/eprint/31833

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