Please use this identifier to cite or link to this item:
Publication type: Book part
Type of review: Editorial review
Title: Data visualization and transparency in the news
Authors: Kennedy, Helen
Weber, Wibke
Engebretsen, Martin
et. al: No
DOI: 10.21256/zhaw-19901
Published in: Data Visualization in Society
Editors of the parent work: Engebretsten, Martin
Kennedy, Helen
Page(s): 169
Pages to: 185
Issue Date: 2020
Publisher / Ed. Institution: Amsterdam University Press
Publisher / Ed. Institution: Amsterdam
ISBN: 978-9-463-72290-2
Language: English
Subjects: News; Transparency; Data visualization; Objectivity; Journalism
Subject (DDC): 070: News media, journalism and publishing
Abstract: This chapter explores the role of data visualization in relation to transparency in the news, a field in which a decline in trust and a subsequent need to reassert credibility is an ongoing challenge. Being transparent about how the news is produced is seen as one way of generating trust, yet there has been very little empirical research into transparency practices in newsrooms. Our chapter f ills this gap, focusing on transparency and data visualization. We argue that working with data visualization involves particular enactments of transparency, many of which are surprisingly not visual.
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

Files in This Item:
File Description SizeFormat 
2020_Weber_Transparency-in-news_Data-visualization.pdf157.12 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.