A few basic references: Anderson, C. (2008): The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. WIRED, 23 Junio, http://www.wired.com/2008/06/pb-theory/ Andrejevic, M. (2013): Infoglut. How too Much Information is Changing the Way We Think and Know, New York, NY: Routledge. Boellstorff, T., & Maurer, B. (eds.) (2015): Data, Now Bigger and Better! Chicago: Prickly Paradigm Press. Bolin, G., & Schwarz, J.A. (2015): Heuristics of the algorithm: Big Data, user interpretation and institutional translation. Big Data & Society, 2(2). doi: 10.1177/2053951715608406 Borgman, C.L. (2015): Big Data, Little Data, No Data: Scholarship in the Networked World, Cambridge, MA: MIT Press. Crawford, K., Gray, ML, & Miltner, K. (2014): Critiquing Big Data: Politics, Ethics, Epistemology. International Journal of Communication, 8, pp. 1663-1672, http://ijoc.org/index.php/ijoc/article/view/2167/1164 Gitelman, L. (ed.) (2013): Raw Data Is an Oxymoron, Cambridge, MA.: MIT Press. On 26 May 2017 at 12:09, Polina Kolozaridi <poli.kolozaridi@gmail.com> wrote:
dear Tom,
maybe this First Monday issue might be useful: http://firstmonday.org/ojs/index.php/fm/issue/view/404
best, Polina
2017-05-26 13:06 GMT+03:00 Tom van Nuenen <tomvannuenen@gmail.com>:
Dear researchers of the Internet,
I'm looking for literature that deals with the relations between theory and method in the social sciences in an age of big data and the supposed 'end of theory'. Data is increasingly likely to be a starting point for social scientists investigating the digital world, but what does this mean for theory, method and the relations between them?
Any information and literature would be very welcome. Many thanks in advance!
Best regards,
Tom van Nuenen Assistant Professor Online Culture _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/ listinfo.cgi/air-l-aoir.org
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