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Publication type: Book part
Type of review: Editorial review
Title: Exploring narrativity in data visualization in journalism
Authors: Weber, Wibke
et. al: No
DOI: 10.21256/zhaw-19886
Published in: Data Visualization in Society
Editors of the parent work: Engebretsen, Martin
Kennedy, Helen
Page(s): 295
Pages to: 311
Issue Date: 2020
Publisher / Ed. Institution: Amsterdam University Press
Publisher / Ed. Institution: Amsterdam
ISBN: 978-9-463-72290-2
Language: English
Subjects: Data visualization; Society; Narrativity; Journalism
Subject (DDC): 070: News media, journalism and publishing
Abstract: Many news stories are based on data visualization, and storytelling with data has become a buzzword in journalism. But what exactly does storytelling with data mean? When does a data visualization tell a story? And what are narrative constituents in data visualization? This chapter first defines the key terms in this context: story, narrative, narrativity, showing and telling. Then, it sheds light on the various forms of narrativity in data visualization and, based on a corpus analysis of 73 data visualizations, describes the basic visual elements that constitute narrativity: the instance of a narrator, sequentiality, temporal dimension, and tellability. The paper concludes that understanding how data are transformed into visual stories is key to understanding how facts are shaped and communicated in society.
Fulltext version: Published version
License (according to publishing contract): CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Departement: Applied Linguistics
Organisational Unit: Institute of Applied Media Studies (IAM)
Appears in collections:Publikationen Angewandte Linguistik

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