The following article (preprint/accepted for publication) is a newly released revised version of an article scheduled to appear in the Proceedings of the British Academy.
University College London and The Alan Turing Institute
Accepted for Publication: Proceedings of the British Academy (2019)
The emergence of new digital technologies has allowed the study of human behaviour at a scale and at level of granularity that were unthinkable just a decade ago. In particular, by analysing the digital traces left by people in their online and offline lives, we are able to trace the spreading of knowledge and ideas at both local and global scales.
In this article we will discuss how these digital traces can be used to map knowledge in online and offline worlds, outlining both the limitations and the challenges in performing this type of analysis. We will focus on data collected from social media platforms, large-scale digital repositories and mobile data. Finally, we will provide an overview of the tools that are available to scholars and practitioners for understanding these processes using these emerging forms of data.
Direct to Full Text Article
8 pages; PDF.