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Visualization for Villainy

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arxiv 2109.06007 v2 pith:SVQH3RFA submitted 2021-09-13 cs.HC

classification cs.HC
keywords visualizationchartingendspotentialachieveallowsanalysisapplying
verification ladder T0 review T1 audit T2 compute T3 formal
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Visualization has long been seen as a dependable and trustworthy tool for carrying out analysis and communication tasks -- a view reinforced by the growing interest in applying it to socially positive ends. However, despite the benign light in which visualization is usually perceived, it carries the potential to do harm to people, places, concepts, and things. In this paper, we capitalize on this negative potential to serve an underrepresented (but technologically engaged) group: villains. To achieve these ends, we introduce a design space for this type of graphical violence, which allows us to unify prior work on deceptive visualization with novel data-driven dastardly deeds, such as emotional spear phishing and unsafe data physicalization. By charting this vile charting landscape, we open new doors to collaboration with terrifying domain experts, and hopefully, make the world just a bit worse.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 4 citations worldwide. Full citation record

  1. Charting the Moral Universe: Capturing Virtues and Values of Data Visualization Practice

    cs.HC 2026-07 accept novelty 6.0 of 10

    A 20-expert interview study yields a taxonomy of 68 values in nine virtue clusters for ethical data-visualization practice.

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