[Air-L] literature on theory and big data in social sciences

[Jennifer Pybus]

Dear Tom, 

You might also find the special issue that Mark Coté, Paolo Gerbaudo and I did on the Politics of Big Data helpful. All of the articles speak to the areas you are interested in and are available here, from the Journal of Digital Culture and Society: https://www.degruyter.com/view/j/dcs.2016.2.issue-2/issue-files/dcs.2016.2.issue-2.xml  

Coté, Mark, Gerbaudo, Paolo and Pybus, Jennifer (2016) Introduction. Politics of Big Data
Coté, Mark and Pybus, Jennifer (2016) Simondon on Datafication. A Techno-Cultural Method
Gerbaudo, Paolo (2016) From Data Analytics to Data Hermeneutics. Online Political Discussions, Digital Methods and the Continuing Relevance of Interpretive Approaches
Gerlitz, Carolin (2016) What Counts? Reflections on the Multivalence of Social Media Data, Digital Culture and Society
Milan, Stefania and Velden, Lonneke van der (2016) The Alternative Epistemologies of Data Activism
Murthy, Dhiraj, Gross, Alexander and McGarry, MarisaVisual (2016) Social Media and Big Data. Interpreting Instagram Images Posted on Twitter
Rieder, Bernhard (2016) Big Data and the Paradox of Diversity


All the best,
Jennifer



On 26/05/2017, 11:06, "Air-L on behalf of Tom van Nuenen" <air-l-bounces at listserv.aoir.org on behalf of tomvannuenen at gmail.com> wrote:

    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
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