Make Mirrors, Not Windows
Year: 2025
Type: article
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.
Author: Bhargava, Rahul
Institution: Northeastern University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7081222336
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