New study maps 68 ethical values for data visualization practitioners
20 experts reveal 9 virtue clusters guiding moral data visualization design...
Researchers Chloe Hudson Prock, Enrico Bertini, and Michael Correll conducted a broad interview study with 20 experienced data visualization researchers, practitioners, and data artists to understand what ethics means in their work. The paper, now on arXiv, reports that current ethical discourse in data viz is often too narrow—focusing only on avoiding overt deception or assuming data is neutral. The team found that ethical practice is far more nuanced and multifaceted.
Through thematic analysis, they surfaced 68 core values that cluster into nine virtue groups. These include tensions around using visualization as a persuasive tool, the tightrope between professional responsibilities and personal moral commitments, and the challenge of acknowledging the designer's subjectivity. The resulting framework provides a structured vocabulary for educators, designers, and researchers to discuss and teach data visualization ethics more comprehensively.
- 20 interviews with experienced experts yielded 68 distinct ethical values
- Values organized into 9 virtue clusters covering persuasion, objectivity, and responsibility
- Study critiques narrow ethics that ignore designer bias and broader moral duties
Why It Matters
Gives data viz professionals a concrete ethical framework beyond simple do's and don'ts.