Big Data is having a huge impact on journalism and communication studies. At the same time, it has raised a plethora of social concerns ranging from mass surveillance to the legitimization of prejudices such as racism. This article develops an agenda for critical Big Data research. It discusses what the purpose of such research should be, what pitfalls it should guard against, and the possibility of adapting Big Data methods to conduct empirical research from a critical standpoint. Such a research program will not only enable critical scholarship to meaningfully challenge Big Data as a hegemonic tool, but will also make it possible for scholars to draw upon Big Data resources to address a range of social issues in previously impossible ways. The article calls for methodological innovation in combining emerging Big Data techniques with critical/qualitative methods of research, such as ethnography and discourse analysis, in ways that allow them to complement each other.
|Publication status||Published - 2016|