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Other literature type . 2025
License: CC BY SA
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Presentation . 2025
License: CC BY SA
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY SA
Data sources: Datacite
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Make Mirrors, Not Windows

Authors: Bhargava, Rahul;

Make Mirrors, Not Windows

Abstract

The tools of data storytelling are primarily designed to observe and quantify other groups, as if looking through a *window* for measurement. To use data for community empowerment we need to reset and focus on building more data *mirrors*, creating ways for the subjects of data themselves to own the narratives and impact of associated data stories. This requires a broader toolbox of techniques; data beyond the visual. Across the globe, groups are working with artists and designers to create participatory data experiences that redefine what data storytelling can look like. We must all learn from, contribute to, and build on these off-screen examples in order to more effectively and appropriate work on community data. Together, we can fight the damaging power dynamics of datafication by working with communities to create more data mirrors.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green