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This article explores how readers recognize their personal identities represented through data visualizations. The ​recognition​ is investigated starting from three definitions captured by the philosopher Paul Ricoeur: the ​identification​ with the visualization, the ​recognition​ of someone in the visualization, and the ​mutual recognition​ that happens between readers. Whereas these notions were initially applied to study the role of the book reader, two further concepts complete the shift to data visualization: the ​digital identity​ stays for the present-day passport of human actions and the ​promise​ is the intimate reflection that projects readers towards their own future. This article reflects on the delicate meaning of digital identity and the way of representing it according to this structure: ​From Personal Identity to Media​ is a historical introduction to self-recognition, ​Data Visualization for Representing Identities​ moves the focus to visual representation, and​ The Course of Recognition​ breaks the self-recognition in through the five concepts above just before the ​Conclusion​.

Self-Recognition in Data Visualization: How Individuals See Themselves in Visual Representations