Adapting data-driven research to the fields of social sciences and the humanities

Weichselbraun, Albert; Kuntschik, Philipp; Francolino, Vincenzo; Saner, Mirco; Dahinden, Urs; Wyss, Vinzenz

doi:10.3390/fi13030059

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-21920

Publication type:	Article in scientific journal
Type of review:	Peer review (publication)
Title:	Adapting data-driven research to the fields of social sciences and the humanities
Authors:	Weichselbraun, Albert Kuntschik, Philipp Francolino, Vincenzo Saner, Mirco Dahinden, Urs Wyss, Vinzenz
et. al:	No
DOI:	10.3390/fi13030059 10.21256/zhaw-21920
Published in:	Future Internet
Volume(Issue):	13
Issue:	3
Page(s):	59
Issue Date:	Feb-2021
Publisher / Ed. Institution:	MDPI
ISSN:	1999-5903
Language:	English
Subjects:	Medienkritik; Automatisierte Inhaltsanalyse; WebLyzard; Big data; Web intelligence
Subject (DDC):	006: Special computer methods 302.23: Media
Abstract:	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 the social sciences and humanities. This article presents a collaborative, interdisciplinary process for adapting data-driven research to research questions within other disciplines, which considers the methodological background required to obtain a significant impact on the target discipline and guides the systematic collection and formalization of domain knowledge, as well as 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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/21920
Fulltext version:	Published version
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	Applied Linguistics
Organisational Unit:	Institute of Applied Media Studies (IAM)
Published as part of the ZHAW project:	Radar Medienkritik Schweiz
Appears in collections:	Publikationen Angewandte Linguistik

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Weichselbraun, A., Kuntschik, P., Francolino, V., Saner, M., Dahinden, U., & Wyss, V. (2021). Adapting data-driven research to the fields of social sciences and the humanities. Future Internet, 13(3), 59. https://doi.org/10.3390/fi13030059

Weichselbraun, A. et al. (2021) ‘Adapting data-driven research to the fields of social sciences and the humanities’, Future Internet, 13(3), p. 59. Available at: https://doi.org/10.3390/fi13030059.

A. Weichselbraun, P. Kuntschik, V. Francolino, M. Saner, U. Dahinden, and V. Wyss, “Adapting data-driven research to the fields of social sciences and the humanities,” Future Internet, vol. 13, no. 3, p. 59, Feb. 2021, doi: 10.3390/fi13030059.

WEICHSELBRAUN, Albert, Philipp KUNTSCHIK, Vincenzo FRANCOLINO, Mirco SANER, Urs DAHINDEN und Vinzenz WYSS, 2021. Adapting data-driven research to the fields of social sciences and the humanities. Future Internet. Februar 2021. Bd. 13, Nr. 3, S. 59. DOI 10.3390/fi13030059

Weichselbraun, Albert, Philipp Kuntschik, Vincenzo Francolino, Mirco Saner, Urs Dahinden, and Vinzenz Wyss. 2021. “Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities.” Future Internet 13 (3): 59. https://doi.org/10.3390/fi13030059.

Weichselbraun, Albert, et al. “Adapting Data-Driven Research to the Fields of Social Sciences and the Humanities.” Future Internet, vol. 13, no. 3, Feb. 2021, p. 59, https://doi.org/10.3390/fi13030059.