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Publication

Data Portraits

Judith Donath, Alex Dragulescu, Aaron Zinman, Fernanda Viégas, Rebecca Xiong

Abstract

Data portraits depict their subjects’ accumulated data rather than their faces. They can be visualizations of discussion contributions, browsing histories, social networks, travel patterns, etc. They are subjective renderings that mediate between the artist’s vision, the subject’s self-presentation, and the audience’s interest. Designed to evocatively depict an individual, a data portrait can be a decorative object or be used as an avatar, one’s information body for an online space. Data portraits raise questions about privacy, control, aesthetics, and social cognition. These questions become increasingly important as more of our interactions occur online, where we exist as data, not bodies.

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