Title: Profiling Machines: Mapping the Personal Information Economy
Author: Greg Elmer
Publisher: The MIT Press
Publication Date: 2004-01-01
Number Of Pages: 176
Average Amazon Rating: 5.0
In this book Greg Elmer brings the perspectives of cultural and media studies to the subject of consumer profiling and feedback technology in the digital economy. He examines the multiplicity of processes that monitor consumers and automatically collect, store, and cross-reference personal information. When we buy a book at Amazon.com or a kayak from L.L. Bean, our transactions are recorded, stored, and deployed to forecast our future behavior–thus we may receive solicitations to buy another book by the same author or the latest in kayaking gear. Elmer charts this process, explaining the technologies that make it possible and examining the social and political implications.
Elmer begins by establishing a theoretical framework for his discussion, proposing a "diagrammatic approach" that draws on but questions Foucault's theory of surveillance. In the second part of the book, he presents the historical background of the technology of consumer profiling, including such pre-electronic tools as the census and the warranty card, and describes the software and technology in use today for demographic mapping. In the third part, he looks at two case studies–a marketing event sponsored by Molson that was held in the Canadian Arctic (contrasting the attendees and the indigenous inhabitants) and the use of "cookies" to collect personal information on the World Wide Web, which (along with other similar technologies) automate the process of information collection and cross-referencing. Elmer concludes by considering the politics of profiling, arguing that we must begin to question our everyday electronic routines.
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