Exploring the Meaning Problem of Big and Small Data Through Digital Method Triangulation

Abstract

Abstract In this article, knowledge building through combinations of methods in a digital context is discussed and explored. Two types of digital bigger and smaller data-driven media studies are used as examples: digital focus groups and the combination of internet traffic measurements, surveys and diaries. The article proposes the concept of digital method triangulation. Digital method triangulation is argued to be a way to approach the “meaning problem” to make sense of small and big data. Digital method triangulation is argued 1) to stimulate the innovative use of known methods for unexpected dimensions within the studied topic; 2) with appropriate theoretical and meta-theoretical reflections, to provide more certainty in conclusions; and 3) to assist in constructing a more comprehensive perspective on specific analyses. The conclusion is that triangulation is even more important in the digital realm, as it facilitates dialogue between conventional and digital methods, dialogue that seems crucial to capture the complexities of the onlife.