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Representing Marginalized Populations: Challenges in Anthropographics

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arxiv 2210.02660 v2 pith:7QK3M45Z submitted 2022-10-06 cs.HC

classification cs.HC
keywords anthropographicsmarginalizedpopulationsbeenchallengesdatademographichighlight
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Anthropographics are human-shaped visualizations that have primarily been used within visualization research and data journalism to show humanitarian and demographic data. However, anthropographics have typically been produced by a small group of designers, researchers, and journalists, and most use homogeneous representations of marginalized populations-representations that might have problematic implications for how viewers perceive the people they represent. In this paper, we use a critical lens to examine anthropographic visualization practices in projects about marginalized populations. We present critiques that identify three potential challenges related to the use of anthropographics and highlight possible unintended consequences-namely (1) creating homogeneous depictions of marginalized populations, (2) treating marginalization as an inclusion criteria, and (3) insufficiently contextualizing datasets about marginalization. Finally, we highlight opportunities for anthropographics research, including the need to develop techniques for representing demographic differences between marginalized populations and for studies exploring other potential effects of anthropographics.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Social Construction of Visualizations: Practitioner Challenges and Experiences of Visualizing Race and Gender Demographic Data

    cs.HC 2025-02 conditional novelty 6.0 of 10

    Interviews with 17 visualization practitioners show that designing race and gender visualizations is value-laden, political work in which designers navigate tensions around neutrality, power, and their own positionalities.

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