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Obligatory literature

Beer, David (2016) Metric Power, Basingstoke: Palgrave Macmillan (pp. 1-76).

Bolin, Göran (2011) Value and the Media. Cultural Production and Consumption in Digital Markets, Farnham: Ashgate (p. 7-65).

Bolin, Göran (2012) The Labour of Media Use: The Two Active Audiences. Information, Communication and Society, 15(6): 796-814. (18 p.)

http://www.tandfonline.com/doi/full/10.1080/1369118X.2012.677052

Bolin, Göran & Jonas Andersson Schwarz (2015) Heuristics of the Algorithm. Big Data, User Interpretation and Translation Strategies. Big Data & Society, July-December 2015: 1-12. http://journals.sagepub.com/doi/10.1177/2053951715608406 (12 p.)

Bolin, Göran & Julia Velkova (2020) Audience Metric Continuity? Approaching the Meaning of Measurement in the Digital Everyday. Media, Culture & Society 42(7-8): 1193-1209.): doi.org/10.1177/0163443720907017.

Boyd, Danah & Kate Crawford (2012) Critical Questions for Big Data. Information, Communication & Society, 15(5): 662-679. (17 p.)

Brighenti, Andrea Mubi (2018) The Social Life of Measures: Conceptualizing Measure-Value Environments. Theory, Culture & Society, 35(1): 23-44. (11 p.)

Bucher, Taina (2016) Neither Black Nor Box: Ways of Knowing Algorithms. In: S Kubitschko & A Kaun (eds) Innovative Methods in Media and Communication Research. Cham: Palgrave Macmillan, pp. 81-98. (18 p.)

Espeland, Wendy N & Michael Sauder (2007) Rankings and Reactivity: How Public Measures Recreate Social Worlds. American Journal of Sociology 113(1): 1-40 (40 p.)

Esposito, Elena & David Stark (2019) What’s Observed in a Rating? Rankings as Observation in the Face of Uncertainty. Theory, Culture & Society 36(4): 3-26.

Gerlitz, Caroline (2016) What Counts? Reflections on the Multivalence of Social Media Data. Digital Culture & Society, 2(2): 19-38. (19 p.)

Gerlitz, Caroline & Ann Helmond (2013) The Like economy: Social buttons and the data-intensive web. New Media & Society 15(8): 1348-1365. (17 p.)

Gillespie, Tarleton (2010) The Politics of Platforms. New Media & Society, 12(3): 347-364. (17 p.)

Gould, Jeff (2014) "The Natural History of Gmail Data Mining. Gmail Isn"t Really About email - It"s a Gigantic Profiling Machine", Medium, June 24 (ca 30 p.)

https://medium.com/@jeffgould/the-natural-history-of-gmail-data-mining-be115d196b10. (25 p.)

Grosser, Benjamin (2014) What do Metrics Want? How Quantification Prescribes Social Interaction on Facebook. Computational Culture: A Journal of Software Studies. http://computationalculture.net/article/what-do-metrics-want (14 p.)

Kennedy, Helen, Dag Elgesem & Cristina Miguel (2015) On Fairness: User Perspectives on Social Media Data Mining. Convergence, 21(4): 1-19. (19 p.)

Kitchin, Rob (2017) Thinking Critically about and Researching Algorithms. Information, Communication & Society, 20(1): 14-29. (15 p.)

Stark, David (2020) The Performance Complex: Competition and Competitions in Social Life. Oxford: Oxford University Press. (urval)

Striphas, Ted (2015): Algorithmic Culture. European Journal of Cultural Studies, 18(4-5): 395-412. (17 p.)

van Dijck, José (2014): Datafication, Dataism and Dataveillance: Big Data Between Scientific Paradigm and Ideology. Surveillance & Society, 12(2): 197-208. (11 p.)

van Dijck, José, Thomas Poell & Martijn de Waal (2018) The Platform Society. Public Values in a Connected World. Oxford: Oxford University Press. 240 s.

Reference works (selection of 200 pages):

Andrejevic, M (2013): Infoglut. How Too Much Information Is Changing the Way We Think and Know, New York: Routledge.

Andrejevic, Mark (2014): The Big Data Divide. International Journal of Communication, 8: 1673-1689. (16 s)

Bermejo, F (2009) Audience Manufacture in Historical Perspective: From Broadcasting to Google. New Media & Society, 11(1-2): 133-154 (22 s)

Bucher, Taina (2018) If… Then. Algorithmic Power and Politics. Oxford: Oxford University Press. (200 s.)

Cheney-Lippold, J (2017) We are Data: Algorithms and the Making of Our Digital Selves. New York: NYU Press.

Couldry N & U Mehijas (2019) The costs of connection: How data is colonizing human life and appropriating it for capitalism. Stanford: Stanford UP.

Fuchs, C. (2014) Digital Labour and Karl Marx. New York: Routledge

Jakobsson, Peter & Fredrik Stiernstedt (2010): Pirates of Silicon Valley. State of Exception and Dispossession in Web 2.0. First Monday, 15(7): https://journals.uic.edu/ojs/index.php/fm/article/view/2799/2577 (14 s)

Kennedy, Helen (2016): Post, Mine, Repeat. Social Media Data Mining Becomes Ordinary. London: Palgrave Macmillan.

Kücklich, J. (2005) "Precarious Playbour: Modders and the Digital Games Industry", Fibreculture Journal, 5. http://five.fibreculturejournal.org/fcj-025-precarious-playbour-modders-and-the-digital-games-industry/

Porter, TM (1986) The rise of Statistical Thinking 1820-1900. Princeton, NJ: Princeton University Press.

Mayer-Schönberger, V & Cukier, K (2013) Big data: A revolution that will transform how we live, work, and think. Boston & New York: Eamon Dolan/Houghton Mifflin Harcourt.

Pink, S, D Lanzeni & H Horst (2018) Data Anxieties: Finding Trust in Everyday Digital Mess. Big Data & Society, January-June 2018, 1-14.

Schäfer, MT & K van Es (eds) (2017) The Datafied Society: Studying Culture Through Data, Amsterdam: Amsterdam University Press.

Smythe, D. (1977) "Communications: Blindspot of Western Marxism", in Canadian Journal of Political and Social Theory, 1(3): 1-27.

Terranova, T (2000) "Free Labor. Producing Culture for the Digital Economy", Social Text, 18(2): 33-58. (20 s)

Turow, J. (2006) Niche Envy. Marketing Discrimination in the Digital Age, Cambridge, MA: MIT Press.

Turow, J. (2011) The Daily You. How the New Advertising Industry Is Defining Your Identity and Your Worth, New Haven & London: Yale University Press.

Turow, Joseph, Michael Hennessy & Nora Draper (2015): The Tradeoff Fallacy. How Marketers are Misrepresenting American Consumers and Opening Them Up to Exploitation. Philadelphia: Annenberg School of Communication.

van Dijck, J. (2013) The Culture of Connectivity. A Critical History of Social Media, Oxford: Oxford University Press.

725 pages in total (including reference)