Data Narratives
Data Narratives is a scholarly construct that refers to the systematic organization and presentation of data-derived insights within a coherent story structure, distinguishing it from other data communication methods by its deliberate integration of narrative elements—such as plot, character, and context—to enhance understanding, engagement, and persuasive impact in data storytelling.
137
Publications
7.8K
Citations
338
Authors
195
Institutions
Publications per year
2017–2026
93
Parents
137
Minna Ruckenstein, Natasha Dow Schüll · Annual Review of Anthropology · 2017 · 463 citations · Full text
Maggie MacLure · Culture Studies ↔ Critical Methodologies · 2013 · 429 citations
Computing, Data Science, Philosophy +10
Critical Data Studies: A dialog on data and space
Craig M. Dalton, Linnet Taylor, Jim Thatcher · Big Data & Society · 2016 · 260 citations · Full text
1–5 of 137
338
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195
University of Washington
Seattle, United States
5 h-index
8 publications
327 citations

University of Auckland
Auckland, New Zealand
4 h-index
7 publications
427 citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
448 citations
Tongji University
Shanghai, China
4 h-index
18 publications
904 citations
RMIT University
Melbourne, Australia
3 h-index
4 publications
446 citations
University of California, Davis
Davis, United States
3 h-index
6 publications
184 citations

Umeå University
Umeå, Sweden
3 h-index
4 publications
83 citations
University of Michigan
Ann Arbor, United States
3 h-index
14 publications
813 citations
1–8 of 195
10 publications · 1K citations
10
h-index
5 publications · 661 citations
5
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4 publications · 460 citations
4
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TVCG · 4 publications · 160 citations
4
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Conference · 3 publications · 124 citations
3
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1–5