Making sense of small and big data as onlife traces
This special issue of Nordicom Review discusses how we create meaning in, and make sense of, big and small data as traces of intrinsically interwoven offline and online lives, also known as onlife traces.
The articles study the onlife empirically and discuss the methods used to infer meaning from data traces to usage or users. Rather than solving the ‘meaning’ problem, some articles apply big and small data methods to the onlife while others explicitly discuss issues of sense-making in various empirical contexts that suggest further directions in the field of digital sociology.
Editors are Anja Bechmann, Kjetil Sandvik and Karin Zelano