Loading…

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Keynote [clear filter]
Tuesday, July 12
 

09:00

Keynote: Susan Halford
Location: PSH (Professor Stuart Hall Building) - LG02,
Goldsmiths, University of London, Building 2
Campus Map 

Susan Halford 
Director, Web Science Institute, University of Southampton, UK

Challenging Social Media Analytics 

Abstract

 This talk explores social media analytics as an emergent field of sociotechnical practice.  Situated in the wider ‘data deluge’ social media data have drawn the attention of a wide range of academic researchers, policy makers and businesses, attracted by  the promise that they appear to carry of new insights into the social world. However, initial explorations of the opportunities in these data are beginning to reveal some significant methodological challenges in working with social media data and these – in turn – challenge some of the early approaches to and claims made from them. This talk works this claim through a local history of social media data research, specifically Twitter analytics, to suggest how we might now push forward from initial optimism and subsequent critique into a new phase of research that makes the most of these data through new assemblages of research practice.

 

 

Bio

Susan Halford is Professor of Sociology and a Director of the Web Science Institute both at the University of Southampton, UK. A Geographer by training and an organizational sociologist for many years, her recent research focusses on the politics of digital data and artefacts, with particular attention to questions of method and expertise. Susan is partiularly interested in how computational processes shape the curation of digital data and has recently explored this along two dimensions (1) the impact of computational processes on knowledge - what can be known, by whom and how - and, in turn, the implications for expertise and the future of academic disciplines (see for example Halford et al 2013 Digital Futures: sociological challenges and opportunities in the emergent semantic web); and (2) the question of data provenance and applied methods of data analysis, specifically in relation to social media data (see Tinati et al 2014 Big Data: methodological challenges and approaches for sociological analysis). Throughout her work Susan is concerned to harness sociological critiques of digital data and infrastructures to develop constructive and progressive engagement between the social and computational sciences. She is also actively involved in current debates around the ethics of big data, particularly social media data and is currently chairing the revision of the 'digital sociology' ethics guidelines for the British Sociological Association.

 

 


Tuesday July 12, 2016 09:00 - 10:15
PSH (Professor Stuart Hall Building) - LG02 Goldsmiths University, Building 2
 
Wednesday, July 13
 

09:00

Award Ceremony & Keynote: Helen Kennedy
Location: PSH (Professor Stuart Hall Building) - LG02, 
Goldsmiths, University of London, Building 2
Campus Map 


Helen Kennedy
Professor of Digital Society, University of Sheffield

Desiring numbers: when social media data are ordinary  


Abstract

As social media data mining becomes more and more ordinary, as we post, our posts get mined and this process gets repeated, new data relations emerge. These new data relations are characterised by a widespread desire for numbers. To talk about a desire for numbers, rather than a trust in numbers (Porter 1995), makes it possible to account for some of the contradictions that accompany the becoming-ordinary of social media data, such as hunger for and evangelism about but also frustration in and criticism of data and data mining. This widespread desire for numbers brings with it some troubling consequences: it becomes increasingly difficult to discuss problems with social media data mining despite recognition of them amongst data miners, and it has effects of all kinds on work and workers. Despite these problems, and because of the ubiquity of data and data mining, the possibility of doing good with data (and with data mining) endures. Together, these and other contradictory tendencies – the persistence of some old concerns; the emergence of new ones; data power and challenges to it – constitute the new data relations that emerge when social media data are ordinary. In this presentation, I illustrate this argument by drawing on action research with public sector organisations, interviews with commercial social media insights companies and their clients, focus groups with social media users and other research.

 

BIO

Helen Kennedy is Professor of Digital Society at the University of Sheffield. She has recently been researching what happens when social media data mining becomes widespread – this research will be published as a monograph entitled Post, Mine, Repeat: social media data mining becomes ordinary (Palgrave Macmillan, 2016, was funded by an AHRC Fellowship). Current research includes Seeing Data (www.seeingdata.org), which explores how non-experts relate to data visualisations (funded by an AHRC Digital Transformation large grant). Previous research has traversed digital media landscapes, covering topics including: homepages, identity and representation; race, class, gender inequality; learning disability and web accessibility; and web design and other creative digital work. She is currently interested in critical approaches to big data and data visualisation, how to make data more accessible to ordinary citizens, and whether data matter to people.


Wednesday July 13, 2016 09:00 - 10:30
PSH (Professor Stuart Hall Building) - LG02 Goldsmiths University, Building 2