Ethics in Data Visualization is a normative framework governing the responsible design and presentation of visualized data, distinguished by its focus on ensuring accuracy, transparency, fairness, and accountability in the representation of information to prevent deception, bias, or misinterpretation.
16
Publications
1.1K
Citations
30
Authors
20
Institutions
Publications per year
2017–2026
9
Parents
Publications
16
Ethical Dimensions of Visualization Research
Michael Correll · 2019 · 154 citations · Full text
Computing, Design, Visualization +11
1–5 of 16
Authors
30
- CK
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- AL
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- GB
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- PU
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- JJ
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1–5 of 30
Institutions
20
Iowa State University
Ames, United States
3 h-index
3 publications
129 citations
University of Illinois Chicago
Chicago, United States
2 h-index
3 publications
108 citations
University of British Columbia
Vancouver, Canada
2 h-index
2 publications
341 citations
Tableau Software (United States)
Seattle, United States
1 h-index
1 publications
154 citations
Linköping University
Linköping, Sweden
1 h-index
1 publications
43 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
70 citations
Anadolu University
Eskişehir, Türkiye
1 h-index
1 publications
27 citations
New York University
New York, United States
1 h-index
1 publications
38 citations
1–8 of 20
Venues
- IEEE Transactions on Professional Communication
2 publications · 104 citations
2
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- Journal of Artificial Intelligence General science (JAIGS) ISSN 3006-4023
1 publications · 27 citations
1
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- Qualitative Health Research
QHR · 1 publications · 132 citations
1
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- Big Data & Society
1 publications · 39 citations
1
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- International Journal of Inclusive Education
1 publications · 36 citations
1
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