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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.
In: i-com, 2016, 15 (3)
doi: 10.26083/tuprints-00022515
Article, Secondary publication, Publisher's Version

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Abstract

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.

Item Type: Article
Erschienen: 2023
Creators: Reuter, Christian ; Ludwig, Thomas ; Kotthaus, Christoph ; Kaufhold, Marc-André ; von Radziewski, Elmar ; Pipek, Volkmar
Type of entry: Secondary publication
Title: Big Data in a Crisis? Creating Social Media Datasets for Crisis Management Research
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 2016
Publisher: De Gruyter
Journal or Publication Title: i-com
Volume of the journal: 15
Issue Number: 3
DOI: 10.26083/tuprints-00022515
URL / URN: https://tuprints.ulb.tu-darmstadt.de/22515
Corresponding Links:
Origin: Secondary publication service
Abstract:

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.

Uncontrolled Keywords: Social Media, Big Data, Datasets, Crisis Management
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-225159
Classification DDC: 000 Generalities, computers, information > 004 Computer science
300 Social sciences > 360 Social problems , social services, insurance
300 Social sciences > 380 Commerce, communications, transportation
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Science and Technology for Peace and Security (PEASEC)
Date Deposited: 01 Mar 2023 14:08
Last Modified: 06 Mar 2023 11:03
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