This article provides a history of private sector tracking technologies, examining how the advent of commercial surveillance centered around a logic of data capitalism. Data capitalism is a system in which the commoditization of our data enables an asymmetric redistribution of power that is weighted toward the actors who have access and the capability to make sense of information. It is enacted through capitalism and justified by the association of networked technologies with the political and social benefits of online community, (...) drawing upon narratives that foreground the social and political benefits of networked technologies. I examine its origins in the wake of the dotcom bubble, when technology makers sought to develop a new business model to support online commerce. By leveraging user data for advertising purposes, they contributed to an information environment in which every action leaves behind traces collected by companies for commercial purposes. Through analysis of primary source materials produced by technology makers, journalists, and business analysts, I examine the emergence of data capitalism between the mid-1990s and mid-2000s and its central role in the contemporary information economy. (shrink)

This broad-ranging text offers a comprehensive outline of how visual images, language and discourse work as `systems of representation'. Individual chapters explore: representation as a signifying practice in a rich diversity of social contexts and institutional sites; the use of photography in the construction of national identity and culture; other cultures in ethnographic museums; fantasies of the racialized `Other' in popular media, film and image; the construction of masculine identities in discourses of consumer culture and advertising; and the gendering of (...) narratives in television soap operas. (shrink)

"One of the major works in the development of contemporary criticism and philosophy." -- J. Hillis Miller, Yale University Jacques Derrida's revolutionary theories about deconstruction, phenomenology, psychoanalysis, and structuralism, first voiced in the 1960s, forever changed the face of European and American criticism. The ideas in De la grammatologie sparked lively debates in intellectual circles that included students of literature, philosophy, and the humanities, inspiring these students to ask questions of their disciplines that had previously been considered improper. Thirty years (...) later, the immense influence of Derrida's work is still igniting controversy, thanks in part to Gayatri Spivak's translation, which captures the richness and complexity of the original. This corrected edition adds a new index of the critics and philosophers cited in the text and makes one of contemporary criticism's most indispensable works even more accessible and usable. (shrink)

Digital transformations and processes of “datafication” fundamentally reshape how information is produced, circulated and given meaning. In this article, we provide a concept of “datastructuring” which seeks to capture this reshaping as both a product of and productive of social activity. To do this we focus on how new forms of social action map onto and are enabled by technological changes related to datafication, and how new forms of datafied social action constitute a form of knowledge production which becomes embedded (...) in technologies themselves. We illustrate the potential of the datastructuring concept with empirical examples which also serve to highlight some new avenues for research and some empirical questions to explore further. We suggest a focus on datastructuring can ignite scholarly debates across disciplines that may share an interest in the technological configurations, sorting activities, and other socio-material forces that shape digital spaces, but which are rarely brought together. Such cross-disciplinary conceptualizations may give more attention to how information is structured and organized, becomes “algorithmically recognizable”, and emerges as visible in digital, datafied spaces. Such a concept, we suggest, may help us better understand the novel ways in which “backstage datawork” and “data sorting processes” gain traction in political interventions, commercial processes, and social ordering. (shrink)

The commentary raises political questions about the ways in which data has been constituted as an object vested with certain powers, influence, and rationalities. We place the emergence and transformation of professional practices such as ‘data science’, ‘data journalism’, ‘data brokerage’, ‘data mining’, ‘data storage’, and ‘data analysis’ as part of the reconfiguration of a series of fields of power and knowledge in the public and private accumulation of data. Data politics asks questions about the ways in which data has (...) become such an object of power and explores how to critically intervene in its deployment as an object of knowledge. It is concerned with the conditions of possibility of data that involve things, language, and people that together create new worlds. We define ‘data politics’ as both the articulation of political questions about these worlds and the ways in which they provoke subjects to govern themselves and others by making rights claims. We contend that without understanding these conditions of possibility – of worlds, subjects and rights – it would be difficult to intervene in or shape data politics if by that it is meant the transformation of data subjects into data citizens. (shrink)

This article looks at some common assumptions and associated work practices within a military intelligence community. There intelligence practitioners use the term “raw data” as a common sense category, as a word that describes information they want or have gained access to. The practical and organizational processes that inform the construction of the term raw data are unpacked here. Examples presented are based on interviews, field observations, and document reviews. Theoretical descriptions and models of work, for example, the intelligence cycle, (...) construction, and the use of computer databases, assume that work in this community starts with raw data. However, this data has already been processed by the work practices, political, practical, and other decisions even before data collection occurs. The technology and attendant categories and practices instrumentalize a certain world view. The model used frames not just the collection and organization of the institution’s knowledge but those categories that inform how this institution organizes, legitimizes, and enacts its work, data, and knowledge. Given the kinds of opponents nations have to face today, intelligence practitioners and those who study their work have to understand practice, action, and contexts often quite different from ones own. (shrink)