Algorithmic states of exception

European Journal of Cultural Studies

Volumn 18, Issue 4-5, 2015, Pages 564-576

  McQuillan, Dan ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Algorithms; antinomian; databases; Giorgio Agamben; Lulzsec; machine learning; NoSQL; state of exception; Walter Benjamin

Indexed keywords

EID: 84931397714     PISSN: 13675494     EISSN: 14603551     Source Type: Journal    
DOI: 10.1177/1367549415577389     Document Type: Article

References (43)

1. Agamben GState of Exception. 2005 State of Exception (1st edn). Chicago, IL: University of Chicago Press.Chicago, IL: University of Chicago Press; 2005:
2. Benjamin WReflections: Essays, Aphorisms, Autobiographical Writings. 1995 Reflections: Essays, Aphorisms, Autobiographical Writings (1st Schocken edn). New York: Random House.New York: Random House; 1995:
3. Benjamin WOn the Concept of History. New York: CreateSpace Independent Publishing Platform; 2009:
4. Black EIBM and the Holocaust: The Strategic Alliance Between Nazi Germany and America’s Most Powerful Corporation. 2012 IBM and the Holocaust: The Strategic Alliance Between Nazi Germany and America’s Most Powerful Corporation (expanded edn). Washington, DC: Dialog Press.Washington, DC: Dialog Press; 2012:
5. BlandE (2010) Software predicts criminal behavior. msnbc.com. Available at: http://www.nbcnews.com/id/38723688/ns/technology_and_science-science/t/software-predicts-criminal-behavior/ (accessed 2 May 2014).
6. Blum-DumontetE (2012) There is no party like a CryptoParty. The Huffington Post. Available at: http://www.huffingtonpost.co.uk/eva-blumdumontet/cryptoparty-london-encryption-_b_1953705.html (accessed 16 May 2014).
7. boyddCrawfordK (2011) Six Provocations for Big Data (SSRN scholarly paper). Rochester, NY: Social Science Research Network. Available at: http://papers.ssrn.com/abstract=1926431 (accessed 1 May 2014).
8. BradshawP (2014) Four examples of different threat models. Online Journalism Blog. Available at: http://onlinejournalismblog.com/2014/07/17/three-examples-of-different-threat-models/ (accessed 20 October 2014).
9. CobainI (2013) Obama’s secret kill list – The disposition matrix. The Guardian. Available at: http://www.theguardian.com/world/2013/jul/14/obama-secret-kill-list-disposition-matrix (accessed 4 May 2014).
10. Cohn NThe Pursuit of the Millennium: Revolutionary Millenarians and Mystical Anarchists of the Middle Ages. 1970 The Pursuit of the Millennium: Revolutionary Millenarians and Mystical Anarchists of the Middle Ages (revised and expanded edn). Oxford: Oxford University Press.Oxford: Oxford University Press; 1970:
11. ColemanEG (2011) Anonymous: From the Lulz to collective action. The New Everyday. Available at: http://mediacommons.futureofthebook.org/tne/pieces/anonymous-lulz-collective-action (accessed 4 May 2014).
12. Confused.com. (2014) Telematics insurance – Compare quotes. Available at: http://www.confused.com/car-insurance/telematics (accessed 6 November 2014).
13. CoppeA (1973) A Fiery Flying Roll. Exeter: The Rota. Available at: http://archive.org/details/fieryflyingroll00coppuoft (accessed 3 November 2014).
14. Couchbase (2014) What is NoSQL database & why NoSQL. Couchbase. Available at: http://www.couchbase.com/why-nosql/nosql-database (accessed 2 May 2014).
15. CrawfordKMeierP (2013) Seven principles for big data and resilience projects. iRevolution. Available at: http://irevolution.net/2013/09/23/principles-for-big-data-and-resilience/ (accessed 4 May 2014).
16. DavidowB (2014) Redlining for the 21st century. The Atlantic. Available at: http://www.theatlantic.com/business/archive/2014/03/redlining-for-the-21st-century/284235/ (accessed 2 May 2014).
17. Department for Communities and Local Government (2014) Helping troubled families turn their lives around – Policy. GOV.UK. Available at: https://www.gov.uk/government/policies/helping-troubled-families-turn-their-lives-around (accessed 14 May 2014).
18. DevilleJ (2013) Leaky data: How Wonga makes lending decisions. Charisma Consumer Market Studies. Available at: http://www.charisma-network.net/finance/leaky-data-how-wonga-makes-lending-decisions (accessed 27 October 2014).
19. DriscollK (2012) From punched cards to ‘Big Data’: A social history of database populism. communication +1, vol. 1. Article 4. Available at: http://scholarworks.umass.edu/cpo/vol1/iss1/4
20. Electronic Frontier Foundation (2014) NSA Primary Sources. Electronic Frontier Foundation. Available at: https://www.eff.org/nsa-spying/nsadocs (accessed 1 May 2014).
21. Foucault MDiscipline and Punish: The Birth of the Prison. London: Penguin Books; 1977:
22. Foucault MPower/Knowledge: Selected Interviews and Other Writings. Gordon C, ed. New York: Pantheon; 1980:194-228.
23. Gartner (2011) Gartner says solving ‘Big Data’ challenge involves more than just managing volumes of data. Available at: http://www.gartner.com/newsroom/id/1731916 (accessed 1 May 2014).
24. GornerJ (2013) Chicago police use heat list as strategy to prevent violence. Chicago Tribune. Available at: http://articles.chicagotribune.com/2013-08-21/news/ct-met-heat-list-20130821_1_chicago-police-commander-andrew-papachristos-heat-list (accessed 2 May 2014).
25. Hastie T,Tibshirani R,Friedman JThe Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2003 The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 3rd printing ed. New York: Springer.New York: Springer; 2003:
26. HermaninCAtanasovaA (2013) Making ‘Big Data’ work for equality. When it comes to fighting inequality in Europe, this tool is essential. Why aren’t we using it? Available at: http://www.opensocietyfoundations.org/voices/making-big-data-work-equality-0 (accessed 1 May 2014).
27. Hill CThe World Turned Upside Down: Radical Ideas during the English Revolution. 1991 The World Turned Upside Down: Radical Ideas during the English Revolution (new edn). London; New York: Penguin Books.London; New York: Penguin Books; 1991:
28. Identity Project (2013) ‘No-fly’ trial, day 3: Why and how was Dr. Ibrahim barred from the U.S.? Available at: http://papersplease.org/wp/2013/12/04/no-fly-trial-day-3-why-and-how-was-dr-ibrahim-barred-from-the-us/ (accessed 23 October 2014).
29. KerrIEarleJ (2013) Prediction, preemption, presumption: How big data threatens big picture privacy. Stanford Law Review Online66(65). Available at: http://www.stanfordlawreview.org/online/privacy-and-big-data/prediction-preemption-presumption (accessed 2 May 2014).
30. LarsonJGlanzJLehrenAW (2014) Spy agencies probe angry birds and other apps for personal data. ProPublica. Available at: http://www.propublica.org/article/spy-agencies-probe-angry-birds-and-other-apps-for-personal-data (accessed 1 May 2014).
31. Lulzsec (2011) 50 days of Lulz – Pastebin.com. Pastebin. Available at: http://pastebin.com/1znEGmHa (accessed 4 November 2014).
32. McCarthyS (2014) Don’t shoot the messenger. Smári McCarthy. Available at: http://smarimccarthy.is/blog/2014/04/02/dont-shoot-the-messenger/ (accessed 6 May 2014).
33. McKinsey (2011) Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey & Company. Available at: http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation (accessed 1 May 2014).
34. Mayer-Schonberger V,Cukier KBig Data: A Revolution that Will Transform How We Live, Work and Think. London: John Murray; 2013:
35. MillerG (2012) Plan for hunting terrorists signals U.S. intends to keep adding names to kill lists. The Washington Post, 9November. Available at: http://www.washingtonpost.com/world/national-security/plan-for-hunting-terrorists-signals-us-intends-to-keep-adding-names-to-kill-lists/2012/10/23/4789b2ae-18b3-11e2-a55c-39408fbe6a4b_story.html (accessed 4 May 2014).
36. Mozilla (2014) Lightbeam for Firefox. Shine a light on who’s watching you. Available at: http://www.mozilla.org/en-US/lightbeam/ (accessed 1 May 2014).
37. RuppertE (2012) The governmental topologies of database devices. Theory, Culture & Society29(4–5): 116–136. Available at: http://tcs.sagepub.com/content/29/4-5/116 (accessed 1 May 2014).
38. Thaler RH,Sunstein CRNudge: Improving Decisions about Health, Wealth, and Happiness. 2008 Nudge: Improving Decisions about Health, Wealth, and Happiness (1st edn). New Haven, CT: Yale University Press.New Haven, CT: Yale University Press; 2008:
39. The Leadership Conference (2014) Civil Rights Principles for the Era of Big Data. In: The Leadership Conference on Civil and Human Rights. Available at: http://www.civilrights.org/press/2014/civil-rights-principles-big-data.html (accessed 4 May 2014).
40. Thompson EPCustoms in Common. 1993 Customs in Common (new edn). London; New York: Penguin Books.London; New York: Penguin Books; 1993:
41. Vaneigem RThe Movement of the Free Spirit. New York; Cambridge, MA: Zone Books; 1998:
42. YorkJ (2010) Facebook removes Moroccan Secularist Group and its founder. Global Voices Advocacy. Available at: http://advocacy.globalvoicesonline.org/2010/03/14/facebook-removes-moroccan-atheist-group-and-its-founder/ (accessed 16 May 2014).
43. ZarskyTZ (2002) Mine your own business: Making the case for the implications of the data mining of personal information in the forum of public opinion. Yale Journal of Law and Technology5(1). Available at: http://heinonline.org/HOL/Page?handle=hein.journals/yjolt5&;id=3&div=&collection=