Aula 16

11 Maio 2026, 19:30 • Elsa Cardoso

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Exercício baseado nos livros: Dear Data e Observe, Collect, Draw! de  Giorgia Lupi e Stefanie Posavec

Aula 15

11 Maio 2026, 18:00 • Elsa Cardoso

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Aula 14

4 Maio 2026, 19:30 • Elsa Cardoso

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Aplicações de visualização de informação em diferentes domínios. Novas tendências. Data physicalization.

Aula 13

4 Maio 2026, 18:00 • Elsa Cardoso

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Design de informação: princípios e aplicações em contexto analítico. Infografias

Disinformation, Trust, and Ethical Data Communication

20 Abril 2026, 19:30 • Tomás Almeida e Silva Martins Alves

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Building on the affective and cognitive mechanisms introduced previously, this class focuses on how visualizations can intentionally exploit human biases to mislead. First, we introduce trust as a central construct in visualization. We distinguish cognitive and affective trust, analyze how design features influence credibility and confidence, and discuss how trust can become miscalibrated (either inflated or eroded) by poor or deceptive practices. From there, we examine how common disinformation strategies that exploit design flaws and reasoning errors can be introduced in data visualization design and deployment. The goal is not only to recognize misleading graphics but to design visualizations that responsibly calibrate trust, communicate uncertainty, and support sound decisions. The class concludes with an exercise where students first design a misleading or sensationalist visualization. Then, another student redesigns it into a transparent, trust-calibrated alternative and justify their design choices.