In a fascinating, apparently not-peer-reviewed non-article available free online here, Tommaso Venturini and Bruno Latour discuss the potential of “digital methods” for the contemporary social sciences.
The paper summarizes, and quite nicely, the split of sociological methods to the statistical aggregate using quantitative methods (capturing supposedly macro-phenomenon) and irreducibly basic interactions using qualitative methods (capturing supposedly micro-phenomenon). The problem is that neither of which aided the sociologist in capture emergent phenomenon, that is, capturing controversies and events as they happen rather than estimate them after they have emerged (quantitative macro structures) or capture them divorced from non-local influences (qualitative micro phenomenon).
The solution, they claim, is to adopt digital methods in the social sciences. The paper is not exactly a methodological outline of how to accomplish these methods, but there is something of a justification available for it, and it sounds something like this:
Thanks to digital traceability, researchers no longer need to choose between precision and scope in their observations: it is now possible to follow a multitude of interactions and, simultaneously, to distinguish the specific contribution that each one makes to the construction of social phenomena. Born in an era of scarcity, the social sciences are entering an age of abundance. In the face of the richness of these new data, nothing justifies keeping old distinctions. Endowed with a quantity of data comparable to the natural sciences, the social sciences can finally correct their lazy eyes and simultaneously maintain the focus and scope of their observations.