Skip to main content
Article
Tolls on the Information Superhighway: Entitlement Defaults for Clickstream Data
Faculty Scholarship
  • Lee B. Kovarsky, University of Maryland Francis King Carey School of Law
Document Type
Article
Publication Date
1-1-2003
Keywords
  • Internet,
  • data mining,
  • clickstream data
Comments

This article is used by permission of the Virginia Law Review Association

Abstract

This paper addresses the collection of "clickstream data," and sets forth a theory about the legal rules that should govern it. At the outset, I propose a typology for categorizing privacy invasions. A given state of informational privacy may be represented by: the observed behavior, the collecting agent, and the searching agent. Using this typology, I identify the specific sources of concern about collection of clickstream data. Then, based on expected levels of utility and expected transaction costs of "flipping" to a different rule, I argue for a particular set of privacy defaults for data mining.

Journal
89 Virginia Law Review 1037 (2003).
Disciplines
Citation Information
Lee B. Kovarsky. "Tolls on the Information Superhighway: Entitlement Defaults for Clickstream Data" (2003)
Available at: http://works.bepress.com/lee_kovarsky/13/