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Disclosure as a critical-feminist design practice for Web-based data stories

  • We present findings from design research on disclosure at the intersection of data visualization, digital storytelling, and feminism. While there is an increased awareness of power structures in data science, computing, and design, there is little design research to confront these. This work explores the potential of disclosing context information of data stories, i.e., digital storytelling formats utilizing data visualizations, to enable critical-feminist readings of and reflections on these stories. Drawing from a growing body of feminist scholarship in human-computer interaction, data science, and beyond, we identify key aspects and forms of disclosure for embedding them into visual data story interfaces. We devise and validate these aspects and forms within a case study: a Web-based scrollytelling article explaining the feminist concept of intersectionality using a combination of animated illustration, data visualization, and text. With this work, we demonstrate and discuss the potentials and pitfalls of disclosure practices inWe present findings from design research on disclosure at the intersection of data visualization, digital storytelling, and feminism. While there is an increased awareness of power structures in data science, computing, and design, there is little design research to confront these. This work explores the potential of disclosing context information of data stories, i.e., digital storytelling formats utilizing data visualizations, to enable critical-feminist readings of and reflections on these stories. Drawing from a growing body of feminist scholarship in human-computer interaction, data science, and beyond, we identify key aspects and forms of disclosure for embedding them into visual data story interfaces. We devise and validate these aspects and forms within a case study: a Web-based scrollytelling article explaining the feminist concept of intersectionality using a combination of animated illustration, data visualization, and text. With this work, we demonstrate and discuss the potentials and pitfalls of disclosure practices in data storytelling.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Hannah Schwan, Jonas Arndt, Marian DörkORCiD
DOI:https://doi.org/10.5210/fm.v27i11.12712
ISSN:1396-0466
Titel des übergeordneten Werkes (Englisch):First Monday
Verlagsort:Chicago
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):09.11.2022
Jahr der Erstveröffentlichung:2022
Veröffentlichende Institution:Fachhochschule Potsdam
Urhebende Körperschaft:University of Illinois Chicago Library
Datum der Freischaltung:09.11.2022
Freies Schlagwort / Tag:Data stories; Web-based scrollytelling
GND-Schlagwort:Publizität; Kontext; Feminismus; Erzählen
Jahrgang:27
Ausgabe / Heft:11
Fachbereiche und Zentrale Einrichtungen:FB4 Design
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
Lizenz (Deutsch):License LogoCreative Commons - CC BY-NC-SA - Namensnennung - Nicht kommerziell - Weitergabe unter gleichen Bedingungen 4.0 International
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