Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities


Weichselbraun, Albert, Kuntschik, Philipp, Fancolino, Vincenzo, Saner, Mirco and Wyss, Vinzenz. (2021). Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities. Future Internet, 13(3)


Recent developments in the fields of computer science such as advances in the areas of big data, knowledge extraction and deep learning have triggered the application of data-driven research methods to disciplines such as social sciences and humanities. This article presents a collaborative, interdisciplinary process for adapting data-driven research to research questions within other disciplines that considers the methodological background required to obtain a significant impact on the target discipline, guides the systematic collection and formalization of domain knowledge, the selection of appropriate data sources and methods for analyzing, visualizing and interpreting the results. Finally, we present a case study that applies the described process to the domain of communication science by creating approaches that aid domain experts in locating, tracking, analyzing and finally better understanding the dynamics of media criticism. The study clearly demonstrates the potential of the presented method but also shows that data-driven research approaches require a tighter integration with the methodological framework of the target discipline to really provide a significant impact on the target discipline.

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