Visualizzazione post con etichetta Data Mining. Mostra tutti i post
Visualizzazione post con etichetta Data Mining. Mostra tutti i post

mercoledì 15 maggio 2013

"Raw Data" Is An Oxymoron - Edited by Lisa Gitelman - MIT Press, January 2013


We live in the era of Big Data, with storage and transmission capacity measured not just in terabytes but in petabytes (where peta- denotes a quadrillion, or a thousand trillion). Data collection is constant and even insidious, with every click and every “like” stored somewhere for something. This book reminds us that data is anything but “raw,” that we shouldn’t think of data as a natural resource but as a cultural one that needs to be generated, protected, and interpreted. The book’s essays describe eight episodes in the history of data from the predigital to the digital. Together they address such issues as the ways that different kinds of data and different domains of inquiry are mutually defining; how data are variously “cooked” in the processes of their collection and use; and conflicts over what can—or can’t—be “reduced” to data. Contributors discuss the intellectual history of data as a concept; describe early financial modeling and some unusual sources for astronomical data; discover the prehistory of the database in newspaper clippings and index cards; and consider contemporary “dataveillance” of our online habits as well as the complexity of scientific data curation.

Essay authors:
Geoffrey C. Bowker, Kevin R. Brine, Ellen Gruber Garvey, Lisa Gitelman, Steven J. Jackson, Virginia Jackson, Markus Krajewski, Mary Poovey, Rita Raley, David Ribes, Daniel Rosenberg, Matthew Stanley, Travis D. Williams


Lisa Gitelman is Professor of English and Media, Culture, and Communication at New York University. She is the coeditor of New Media, 1710–1915 (2003) and author of Always Already New: Media, History, and the Data of Culture (2006), both published by the MIT Press.

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sabato 15 dicembre 2012

Greg Elmer - Profiling Machines: Mapping the Personal Information Economy - MIT Press, Usa, 2003



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.
Greg Elmer is Associate Professor of Communications at Florida State University. He is the editor of Critical Perspectives on the Internet and co-editor of the journal Space and Culture.


"Elmer's study of profiling zeroes in on a key aspect of modern media spaces. He takes us beyond the study of texts and contexts to look at the forms of linkage and feedback that media regimes use to define and delimit the role of the consumer and the citizen. This is a great book for anybody trying to puzzle out how media, technology, power, and subjectivity function in the contemporary world." --McKenzie Wark, New School University "An important study of how consumers are tracked and solicited in the new information economy. Drawing on Deleuze's concept of control societies, Elmer introduces a much needed update of the literature on surveillance to account for profiling and datamining technologies, and, most crucially, maps out potential spaces of resistance." --William C. Bogard, Professor of Sociology, Whitman College 
 "In a world increasingly networked, automated, and invisibly connected, Greg Elmer's Profiling Machines is a health alert, a political prophecy, and an ethical challenge. Forget the surveillance state: data mining, cookies, and personal profiling are the tools of increasingly powerful global commercial corporations. Somehow we always thought the Web would combine anonymity with the right to become truly individual. Elmer shows how the erosion of anonymity has turned us into economic and lifestyle data sets, traded without our even knowing it. Thoroughly researched, passionately argued, this is a bracing account of the ethics, aesthetics, and likely futures of the web that should be read by everyone who has ever surfed, as well as every student of public relations and marketing." --Sean Cubitt, Professor of Screen and Media Studies, University of Waikato, New Zealand 
 "Greg Elmer has produced a lucid and concise analysis of the panoptic information society. Profiling Machines makes a very important contribution to what is now a critical agenda in contemporary cultural and political debate." --Kevin Robins, Goldsmiths College, University of London