"Critical Visualization: Rethinking the Representation of Data" examines the power and politics embedded within data visualization. The authors argue that visualizations are not neutral; instead, they shape understanding, reinforce existing power structures, and often obscure the processes and decisions behind their creation. The book advocates for a "critical" approach, urging readers to question visualizations and consider their social, cultural, and historical contexts. It explores diverse case studies, from the "flatten the curve" pandemic graphic to historical maps and contemporary self-tracking practices, demonstrating how visualizations can both reveal and conceal, empower and disempower. Ultimately, the text champions the creation of "critical visualizations" that challenge dominant narratives and promote more equitable and informed ways of seeing the world.
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