Not only in the journalistic field itself, but also in research, data journalism (or: “data-driven journalism”) has become a booming topic. However, so far, a long-term and international study was missing that analyzes how the new data-driven form of reporting develops. To shed some light on this issue, from 2013 to 2016 the project “When Data Become Journalism” analyzed what may be considered the “gold-standard” in data-driven reporting: the works nominated annually for the Data Journalism Awards (DJA), a prize issued by the Global Editors Network. We investigated, amongst other aspects, which kinds of media organizations produce these pieces (newspapers, TV channels etc.), the topics they address (politics, business, sports etc.), the kinds of data they use (geo-data, financial data, survey results etc.), the sources they turn to for these data (official institutions, NGOs, companies etc.), how they visualize these data (graphs, maps, tables etc.), and which opportunities they offer users to explore the data interactively (zooming into maps, filtering data by place of residence etc.). By comparing the projects from the different years, trends in the development of the new reporting style as well as its untapped potentials become apparent.
RP1 - Transformation of Public Communication
2013/2014: Seed-Money HIIG / Hans-Bredow-Institut
Das Projekt wird unterstützt von Fenja de Silva-Schmidt, ehemals studentische Mitarbeiterin am Institut und nun Junior Researcher am Institut für Journalistik und Kommunikationswissenschaft der Universität Hamburg.