Data Visualizations as Propaganda: Tracing Lineages, Provenance, and Political Framings in Online Anti-Immigrant Discourse
Year: 2025
Type: article
Abstract: Along with other visual content, data visualizations are increasingly used within online discourse, including political communication. Though often considered to be ''objective'', data visualizations can also be created and/or appropriated to mislead. Here, we study the use and evolution of data visualizations within social media discourse around the ongoing ''crisis'' at the US-Mexico border in 2024. Through computationally-assisted qualitative analysis, we first describe how data visualizations are used to support four anti-immigrant frames, highlighting key tactics and sources of these visualizations. Next, we conduct a deep analysis of three Data Visualization Lineages (DVLs), exploring the role of adaptations, annotations, and remixing within families of data visualizations that share the same origin but have diverged through distinct visual alterations. We conclude by discussing approaches for supporting researchers in identifying and unpacking data visualization lineages, and highlighting design opportunities for mitigating the impact of misleading data visualizations in online discourse.
DOI: 10.1145/3757574
Authors: Priya Dhawka, Nina Lutz, Kate Starbird
Institution: University of Washington
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4415257541