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Data-driven journalism can be considered as journalism’s response to the datafication of society. To better understand the key components and development of this still young and fast evolving genre, we investigate what the field itself defines as its ‘gold-standard’: projects that were nominated for the Data Journalism Awards from 2013 to 2016 (n = 225). Using a content analysis, we examine, among other aspects, the data sources and types, visualisations, interactive features, topics and producers. Our results demonstrate, for instance, only a few consistent developments over the years and a predominance of political pieces, of projects by newspapers and by investigative journalism organisations, of public data from official institutions as well as a glut of simple visualisations, which in sum echoes a range of general tendencies in data journalism. On the basis of our findings, we evaluate data-driven journalism’s potential for improvement with regard to journalism’s societal functions.
Loosen et al. (2017) studied this question.