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Big Data in a Crisis? Creating Social Media Datasets for Crisis Management Research

Reuter, Christian ; Ludwig, Thomas ; Kotthaus, Christoph ; Kaufhold, Marc-André ; von Radziewski, Elmar ; Pipek, Volkmar (2023):
Big Data in a Crisis? Creating Social Media Datasets for Crisis Management Research. (Publisher's Version)
In: i-com, 15 (3), pp. 249-264. De Gruyter, ISSN 1618-162X,
DOI: 10.26083/tuprints-00022515,

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Item Type: Article
Origin: Secondary publication service
Status: Publisher's Version
Title: Big Data in a Crisis? Creating Social Media Datasets for Crisis Management Research
Language: English

A growing body of research in the area of information systems for crisis management is based on data from social media. After almost every larger disaster studies emerge with the focus on the specific use of social media. Much of this research is based on Twitter data, due to the ease of access of this (mainly public) data, compared to (more closed) data, such as Facebook or Google+. Based on the experience gained from a research project on social media in emergencies and our task to collect social media data sets for other partners, we present the design and evaluation of a graphical user interface that supports those stakeholders (such as emergency services or researchers) that are interested in creating social media datasets for further crisis management research. We do not specifically focus on the analysis of social media data. Rather we aim to support the gathering process and how actors without sophisticated technical skills can be supported to get what they want and especially need: relevant social media data. Within this article, we present a practice-oriented approach and implications for designing tools that support the collection of social media data as well as future work.

Journal or Publication Title: i-com
Volume of the journal: 15
Issue Number: 3
Place of Publication: Darmstadt
Publisher: De Gruyter
Uncontrolled Keywords: Social Media, Big Data, Datasets, Crisis Management
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
300 Sozialwissenschaften > 360 Soziale Probleme, Sozialdienste, Versicherungen
300 Sozialwissenschaften > 380 Handel, Kommunikation, Verkehr
Divisions: 20 Department of Computer Science > Science and Technology for Peace and Security (PEASEC)
Date Deposited: 01 Mar 2023 14:08
Last Modified: 01 Mar 2023 14:08
DOI: 10.26083/tuprints-00022515
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-225159
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/22515
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