The surveillant assemblage.
By K. Haggerty, R. Ericson. British Journal of Sociology, 2000
1,969 citations recorded by the source corpus.
Subfields: Geography, Planning and Development, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/4911a1630b63096f6748fcc5424635c6e5860961
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geography, Planning and Development
- Sarah Brayne
- Matthias Leese
- David Lyon
- D. Stuart
- Deborah Lupton
- S. Graham
- Daniel Neyland
- Minna Ruckenstein
In Sociology and Political Science
- Minna Ruckenstein
- Linnet Taylor
- M. Fourcade
- Jathan Sadowski
- Jenna Burrell
- Sarah Brayne
- Louise Amoore
- Matthias Leese
Citations in the corpus
- Software-sorted geographies (2005, background): “…in terms of a kind of ‘immanent domain’ (Cuff, 2002), ‘ubiquitous computing’ (Hunter, 2002), an ‘invisible city’ (Latour and Hermand, 1998), a ‘surveillant assemblage’ (Haggerty and Ericson, 2000), or a proliferating array of ‘Automated Socio-Technical Environments’ (Lianos and Douglas, 2000).”
- Critical Data Studies: A dialog on data and space (2016, background): “This epistemological and ontological gray area between those who create and those who are represented by data has been picked up by surveillance studies in the notion of the ‘‘data double’’ (Haggerty and Ericson, 2000), the abstracted representations of people created for purposes of intervention.”
- When data is capital: Datafication, accumulation, and extraction (2019, background): “Now with social media it is called the ‘data double’ among other coinages (Haggerty and Ericson, 2000).”
- Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles (2014, background): “Haggerty and Ericson [9] refer to operations that first abstract human bodies by separating them into various data flows or streams and then reassemble them into data doubles to be analyzed and targeted for intervention.”
- Ethical and privacy principles for learning analytics (2014, background): “Conventional metaphors to illustrate privacy such as Big Brother, or the panopticon, are no longer adequate to understand privacy today (Haggerty & Ericson, 2000).”
- Big Data Surveillance: The Case of Policing (2017, background): “…of tax dollars for development of new surveillance sensors and data mining programs to produce strategic intelligence (Gandy 2002), and accelerated the convergence of previously separate surveillance systems into a “surveillant assem-blage” (Deleuze and Guattari 1987; Haggerty and Ericson 2000).”
- Surveillance, Snowden, and Big Data: Capacities, consequences, critique (2014, background): “Classically, studies of surveillance suggest that a shift in emphasis from discipline to control (Deleuze, 1992; Haggerty and Ericson 2000) has been a key trend associated with the increasing use of networked electronic technologies that permit surveillance of mobile populations rather than only…”
- Transactions After 9/11: The Banal Face of the Preemptive Strike (2008, background): “(2005, 20) Thus, the call that rings out across the social sciences, for critical attention to the emergent ‘global surveillant assemblage’ that has intensified post 9/11 (cf. Lyon 2003; Haggerty and Ericson 2000), may be insufficient to politicise the geographies of transaction we discuss here.”
- The Society of Algorithms (2021, background): “Each flesh and blood, embodied person has a “data double” made of these traces—a surveillant assemblage whose components, “circulate in a host of different centers of calculation” (Haggerty & Ericson 2000, p. 611).”
- Quantifying the body: monitoring and measuring health in the age of mHealth technologies (2013, background): “…studies to argue that digital health technologies act to con fi gure and recon fi gure surveillant assemblages (a term fi rst introduced by Haggerty and Ericson 2000), or bodies/subjects that are con fi gured by and through surveillance technologies, and that many individuals engage in…”
- On Organizing Algorithms (2015, background): “…mined and scraped by algorithms oriented toward the creation of ever more associations between data (for more on these surveillance concerns see Lyon, 2001; Davies, 1996; Norris and Armstrong, 1999; Bennett, 2005; Taylor, 2010; McCahill, 2002; Haggerty and Ericson, 2000; Introna and Wood, 2004).”