Context Matters: How Online Communities Influence Trust in Data Visualizations
We examine how online community context shapes credibility judgments of data visualizations. In a controlled study, participants viewed identical visualizations in simulated Reddit posts from political or neutral online groups.
Ecological Model of Visualization
We translate Bronfenbrenner’s Ecological Systems Theory (EST) to information visualization to create an organizing scaffold that both synthesizes prior visualization research and offers a systematic way to connect with adjacent disciplines.
Funded by the Mozilla Foundation’s Responsible Computing Challenge, this project examines how computing students explore careers that match their values while balancing meaningful work with financial stability.
Visualization Islands: Mapping the Reachability of Data Online During the Covid-19 Pandemic
We introduce “visualization islands,” a term describing how technical barriers like slow webpages and accessibility errors can isolate data visualizations from audiences. We analyze 3,000+ COVID-19 visualization webpages to map their reachability.
Digitizing Historical Birth Books Using Computer Vision
We introduce “visualization islands,” a term describing how technical barriers like slow webpages and accessibility errors can isolate data visualizations from audiences. We analyze 3,000+ COVID-19 visualization webpages to map their reachability.
Integrating Statistical Software in Political Methodology Courses
As technology and data literacy become increasingly important, we examine how statistical software is taught in political methodology courses. We highlight current teaching practices and the role of statistical software in political methodology.