Information Privacy and Social Self-Authorship

Techné: Research in Philosophy and Technology, Forthcoming

28 Pages Posted: 23 Dec 2015 Last revised: 22 Apr 2016

See all articles by Daniel Susser

Daniel Susser

Penn State University - College of Information Sciences and Technology

Date Written: December 21, 2015

Abstract

The dominant approach in privacy theory defines information privacy as some form of control over personal information. In this essay, I argue that the control approach is mistaken, but for different reasons than those offered by its other critics. I claim that information privacy involves the drawing of epistemic boundaries — boundaries between what others should and shouldn’t know about us. While controlling what information others have about us is one strategy we use to draw such boundaries, it is not the only one. We conceal information about ourselves and we reveal it. And since the meaning of information is not self-evident, we also work to shape how others contextualize and interpret the information about us that they have. Information privacy is thus about more than controlling information; it involves the constant work of producing and managing public identities, what I call “social self-authorship.” In the second part of the essay, I argue that thinking about information privacy in terms of social self-authorship helps us see ways that information technology threatens privacy, which the control approach misses. Namely, information technology makes social self-authorship invisible and unnecessary, by making it difficult for us to know when others are forming impressions about us, and by providing them with tools for making assumptions about who we are which obviate the need for our involvement in the process.

Keywords: privacy, information privacy, control, personal information, social self-authorship

Suggested Citation

Susser, Daniel, Information Privacy and Social Self-Authorship (December 21, 2015). Techné: Research in Philosophy and Technology, Forthcoming. Available at SSRN: https://ssrn.com/abstract=2706669 or http://dx.doi.org/10.2139/ssrn.2706669

Daniel Susser (Contact Author)

Penn State University - College of Information Sciences and Technology ( email )

E325 Westgate Building
University Park, PA 16802
United States

HOME PAGE: http://www.danielsusser.info

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