Much excitement surrounds the use of social sources of big data – harvested from popular networking platforms like Twitter and Facebook, as well as other forms of socially generated data including Wikipedia edits and Google searches – in the pursuit of social scientific discovery. In this paper I assess the extent to which these newly available sources of socially-generated big data can tell us about public opinion in a society at large. I draw on data from a series of interviews conducted with researchers at the forefront of big data approaches to social science, in order to outline the opportunities and issues around this area of research. In my analysis I identify three challenges to the validity of online public opinion measurement – the reliability of the data collected, the representativeness of the ‘sample’ being analysed, and the replicability of this form of public opinion research – and suggest various ways in which these challenges can be met.
Category: Papers
This page lists formal academic publications and papers accepted for presentation.
Big Data, Ethics, and the Social Implications of Knowledge Production
This position paper addresses current debates about data in general, and big data specifically, by examining the ethical issues arising from advances in knowledge production. Typically ethical issues such as privacy and data protection are discussed in the context of regulatory and policy debates. Here we argue that this overlooks a larger picture whereby human autonomy is undermined by the growth of scientific knowledge. To make this argument, we first offer definitions of data and big data, and then examine why the uses of data-driven analyses of human behaviour in particular have recently experienced rapid growth. Next, we distinguish between the contexts in which big data research is used, and argue that this research has quite different implications in the context of scientific as opposed to applied research. We conclude by pointing to the fact that big data analyses are both enabled and constrained by the nature of data sources available. Big data research will nevertheless inevitably become more pervasive, and this will require more awareness on the part of data scientists, policymakers and a wider public about its contexts and often unintended consequences.
Mapping the UK webspace: fifteen years of british universities on the web
This paper maps the national UK web presence on the basis of an analysis of the .uk domain from 1996 to 2010. It reviews previous attempts to use web archives to understand national web domains and describes the dataset. Next, it presents an analysis of the .uk domain, including the overall number of links in the archive and changes in the link density of different second-level domains over time. We then explore changes over time within a particular second-level domain, the academic subdomain .ac.uk, and compare linking practices with variables, including institutional affiliation, league table ranking, and geographic location. We do not detect institutional affiliation affecting linking practices and find only partial evidence of league table ranking affecting network centrality, but find a clear inverse relationship between the density of links and the geographical distance between universities. This echoes prior findings regarding offline academic activity, which allows us to argue that real-world factors like geography continue to shape academic relationships even in the Internet age. We conclude with directions for future uses of web archive resources in this emerging area of research.
