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
Pages: 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

Files in This Item:
File Description SizeFormat 
2021_Weichselbraun-etal_Data-driven-research-social-sciences-humanities.pdf1.51 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.