sh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Data Stories of Water: Studying the Communicative Role of Data Visualizations within Long-form Journalism
Pontificia Universidad Católica de Chile, Chile.ORCID iD: 0000-0003-4626-3984
Södertörn University, School of Culture and Education, Media and Communication Studies. University of Applied Sciences Potsdam, Germany.ORCID iD: 0000-0002-5677-8175
Pontificia Universidad Católica de Chile, Chile.ORCID iD: 0000-0002-3454-1070
University of Applied Sciences Potsdam, Germany; Dortmund University, Germany.ORCID iD: 0009-0008-9800-8858
Show others and affiliations
2023 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 42, no 3, p. 99-110Article in journal (Refereed) Published
Abstract [en]

We present a methodology for making sense of the communicative role of data visualizations in journalistic storytelling and share findings from surveying water-related data stories. Data stories are a genre of long-form journalism that integrate text, data visualization, and other visual expressions (e.g., photographs, illustrations, videos) for the purpose of data-driven storytelling. In the last decade, a considerable number of data stories about a wide range of topics have been published worldwide. Authors use a variety of techniques to make complex phenomena comprehensible and use visualizations as communicative devices that shape the understanding of a given topic. Despite the popularity of data stories, we, as scholars, still lack a methodological framework for assessing the communicative role of visualizations in data stories. To this extent, we draw from data journalism, visual culture, and multimodality studies to propose an interpretative framework in six stages. The process begins with the analysis of content blocks and framing elements and ends with the identification of dimensions, patterns, and relationships between textual and visual elements. The framework is put to the test by analyzing 17 data stories about water-related issues. Our observations from the survey illustrate how data visualizations can shape the framing of complex topics.

Place, publisher, year, edition, pages
John Wiley & Sons, 2023. Vol. 42, no 3, p. 99-110
Keywords [en]
CCS Concepts, center dot Human-centered computing, Visualization design and evaluation methods, Empirical studies in visualization
National Category
Media and Communications
Identifiers
URN: urn:nbn:se:sh:diva-52144DOI: 10.1111/cgf.14815ISI: 001020716600009Scopus ID: 2-s2.0-85163689400OAI: oai:DiVA.org:sh-52144DiVA, id: diva2:1791120
Conference
25th Eurographics Conference on Visualization, JUN 12-16, 2023, Leipzig, GERMANY
Available from: 2023-08-24 Created: 2023-08-24 Last updated: 2023-08-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Morini, Francesca

Search in DiVA

By author/editor
Garreton, M.Morini, FrancescaPaz Moyano, D.Grüen, G.-C.Parra, D.Dörk, M.
By organisation
Media and Communication Studies
In the same journal
Computer graphics forum (Print)
Media and Communications

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 39 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf