Woke Dataviz For White Guys
Thank you for the opportunity to share. The SIGGRAPH course notes are available here. Other materials are below for reference.
Must Be A Tuesday: Affect, Attribution, and Geographic Variability in Equity-Oriented Visualizations of Population Health Disparities
Collaboration with Lace Padilla, examining equitable data design techniques for population mortality charts.
Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes
Collaboration with Cindy Xiong Bearfield, exploring the impact of variability on attribution and stereotypes.
Polarizing Political Polls: How Visual
Collaboration with Cindy Xiong Bearfield, exploring how social normative influences are triggered by charts.
We read ambiguous signals through our expectations.
Good dataviz is good writing.
Good dataviz means good comparisons.
They blame people, not systems.
e.g. health outcomes, educational outcomes, workplace outcomes, eugenics, and misogyny.
Social categories become real when we use them.
Our attitudes, beliefs and behaviors are often more socially driven than reason-driven.
Harmful stereotypes harm everyone by undermining collective action.
Hiding outcome variability promotes harmful stereotypes and misattributions about the groups being visualized.
Charts that stereotype one group, hurt everyone by undermining collective action.
Boundary busting. Blaming systems not people. Counter-stereotypes.
Charts can be threatening!
Winning the attention game incentivizes drama.
How to stop stirring drama.