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Manifesto for Putting ‘Chartjunk’ in the Trash 2021!
SCI Institute, School of Computing, University of Utah, Salt Lake City, US.ORCID iD: 0000-0001-9419-3402
SCI Institute, School of Computing, University of Utah, Salt Lake City, US.
The Internet (author 3 is a created avatar on Twitter).
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8971-6245
(English)Manuscript (preprint) (Other academic)
Abstract [en]

In this provocation we ask the visualization research community to join us in removing chartjunk from our research lexicon. We present an etymology of chartjunk, framing its provocative origins as misaligned, and harmful, to the ways the term is currently used by visualization researchers. We call on the community to dissolve chartjunk from the ways we talk about, write about, and think about the graphical devices we design and study. As a step towards this goal we contribute a performance of maintenance through a trio of acts: editing the Wikipedia page on chartjunk, cutting out chartjunk from IEEE papers, and scanning and posting a repository of the pages with chartjunk removed to invite the community to re-imagine how we describe visualizations. This contribution blurs the boundaries between research, activism, and maintenance art, and is intended to inspire the community to join us in taking out the trash.

National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-214097DOI: 10.48550/arXiv.2109.10132OAI: oai:DiVA.org:liu-214097DiVA, id: diva2:1962017
Note

This is a arXiv preprint posted September 21, 2021, and was not certified by peer review.   

Available from: 2025-05-28 Created: 2025-05-28 Last updated: 2025-06-04Bibliographically approved
In thesis
1. Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology
Open this publication in new window or tab >>Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Foundational theories in visualization offer explanations and models for how people use visualizations to interpret data. A recent turn in visualization research has drawn attention to the ways in which these theories have limited explanatory power. Instead, researchers are drawing on alternative theories of knowledge, or epistemology, to address persistent problems in the field. This dissertation joins the conversation, presenting entanglement theory for visualization as an alternative epistemological theory and illustrative case studies that demonstrate how alternative theory in visualization shifts our attention and thus alters visualization research outcomes.

To support this claim, this dissertation presents two contributions that illustrate the productive capacity of feminist theory to contribute to visualization research. The first contribution is a novel theory for visualization transposed from feminist entanglement theory. Entanglement theory for visualization shifts the definitions of data, visualization, and insight toward relational and situated objects that are inseparable from feminist objects of concern: ethics, power, and privilege. Along with new definitions of data, visualization, and insights, we present three ways we mobilize feminist epistemology across visualization as the second contribution. The second contribution consists of three case studies demonstrating how feminist visualization theory drew our attention to previously ignored aspects of visualization design guidelines, the role of knowledge, and ethics in collaborative frameworks. Each case study illustrates the productive nature of approaching visualization research with an alternative epistemology.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2025. p. 65
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2459
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-214083 (URN)10.3384/9789181181654 (DOI)9789181181647 (ISBN)9789181181654 (ISBN)
Public defence
2025-09-04, Kåkenhus, Room K3, Campus Norrköping, Norrköping, 14:00 (English)
Opponent
Supervisors
Note

Funding: This dissertation was supported in part by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.

Available from: 2025-05-28 Created: 2025-05-28 Last updated: 2025-06-02Bibliographically approved

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Akbaba, DeryaMeyer, Miriah

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