Speaking sociologically with big data: symphonic social science and the future for big data research
Halford, Susan and Savage, Mike (2017) Speaking sociologically with big data: symphonic social science and the future for big data research Sociology, pp. 1-18.
Other speaking sociologically, accepted.docx
- Accepted Manuscript
Restricted to Repository staff only until 11 April 2017.
Available under License University of Southampton Accepted Manuscript Licence.
Recent years have seen persistent tension between proponents of big data analytics, using new forms of digital data to make computational and statistical claims about ‘the social’, and many sociologists sceptical about the value of big data, its associated methods and claims to knowledge. We seek to move beyond this, taking inspiration from a mode of argumentation pursued by Putnam (2000), Wilkinson and Pickett (2009) and Piketty (2014) that we label ‘symphonic social science’. This bears both striking similarities and significant differences to the big data paradigm and – as such – offers the potential to do big data analytics differently. This offers value to those already working with big data – for whom the difficulties of making useful and sustainable claims about the social are increasingly apparent – and to sociologists, offering a mode of practice that might shape big data analytics for the future.
|Date Deposited:||23 Jan 2017 14:07|
|Last Modified:||22 Feb 2017 02:10|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)