Visually-Informed Mixed Methods Research of Visual Social Data.
Forthcoming In CHI ’26.
Nina Lutz, Joey Schafer, Priya Dhawka, Phil Tinn, and Kate Starbird.
Data Visualizations as Propaganda: Tracing Lineages, Provenance, and Political Framings in Online Anti-Immigrant Discourse
In CSCW Conference on Computer-Supported Cooperative Work (CSCW ’25).
Priya Dhawka, Nina Lutz, and Kate Starbird. Best Paper
[paper]
The Social Construction of Visualizations: Practitioner Challenges and Experiences of Visualizing Race and Gender Demographic Data.
In CHI Conference on Human Factors in Computing Systems (CHI ’25).
Priya Dhawka and Sayamindu Dasgupta. Best Paper Honorable Mention
[paper]
Better Little People Pictures: Generative Creation of Demographically Diverse Anthropographics.
In CHI Conference on Human Factors in Computing Systems (CHI ’24).
Priya Dhawka, Lauren Perera, and Wesley Willett.
[paper]
We are the Data: Challenges and Opportunities for Creating Demographically Diverse Anthropographics.
In CHI Conference on Human Factors in Computing Systems (CHI ’23).
Priya Dhawka, Helen Ai He, and Wesley Willett.
[paper]
Beyond English: Centering Multilingualism in Visualization.
In IEEE VIS 2023 Workshop on Visualization for Social Good.
Noëlle Rakotondravony, Priya Dhawka, and Melanie Bancilhon.
[paper]
Representing Marginalized Populations: Challenges in Anthropographics.
In IEEE VIS 2022 Workshop on Visualization for Social Good.
Priya Dhawka, Helen Ai He, and Wesley Willett.
[paper]
People Count–Counting People: Centering the Uncounted and Misrepresented.
In CHI 2022 Human-Centered Data Science Workshop.
KJ Ross, Priya Dhawka, and Wesley Willett.
[paper]
Observations of Data Resistance: Challenges of Communicating Demographic Data at Private Institutions.
In IEEE VIS 2021 Human-Data Interaction Workshop.
Priya Dhawka, Wesley Willett, and Helen Ai He.
[paper]