What question did this study set out to answer?

The paper aims to highlight biases inherent in data visualizations and propose an ethical workflow for their creation.

Racism in the Machine: Visualization Ethics in Digital Humanities Projects

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This analysis explores ethical data visualization approaches in digital humanities, emphasizing bias and interpretation implications.

The paper aims to highlight biases inherent in data visualizations and propose an ethical workflow for their creation.
Examined data visualization as rhetorical artifacts with implicit arguments
Analyzed two digital mapping projects: Racial Terror Lynchings and Map of White Supremacy Mob Violence
Suggested an ethical workflow for data visualization creation and use
Identified the potential for harm due to biased visual artifacts
Proposed ethical guidelines to reduce harm and enhance explanatory effectiveness
Demonstrated how design choices affect interpretation of data in visual formats

Hepworth et al. (2019) studied this question.

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