City Research Online

Comprehensive contextual visualization of a news archive for aiding story planning

Sami, I., Russell-Rose, T. ORCID: 0000-0003-4394-9876 & Soldatova, L. (2022). Comprehensive contextual visualization of a news archive for aiding story planning. In: CEUR Workshop Proceedings. Fifth Workshop on Narrative Extraction From Texts, 10 Apr 2022, Stavanger, Norway.

Abstract

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.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Publisher Keywords: Natural Language Processing, Visualization, Story Planning, News Writing
Subjects: P Language and Literature
Departments: School of Science & Technology
School of Science & Technology > Computer Science
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