Interrogating Big Data for Social Scientific Research - An Analytical Platform for Visualising Twitter
Year: 2012
Type: conference-paper
Abstract: The recent emergence of ‘big data’ – large scale digitized data sets capturing commercial and transactional activity – is both promising and challenging for social scientific research. On the one hand, these data offer information on ‘action in the wild’ – the things that people actually say and do, rather than what they say they do in surveys or interviews – and they do so at a scale rarely, if ever, approached by conventional social scientific research methods (Savage and Burrows 2007). On the other hand, these data pose a range of methodological, theoretical and philosophical challenges. How can we access and describe these data, make them manageable for social scientific research? What do these data show? And what are the ethics of working with these data?
Authors: Ramine Tinati, Susan Halford
Institution: University of Southampton
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W56099906