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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
Artikel, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Reuter, Christian ; Ludwig, Thomas ; Kotthaus, Christoph ; Kaufhold, Marc-André ; von Radziewski, Elmar ; Pipek, Volkmar
Art des Eintrags: Zweitveröffentlichung
Titel: Big Data in a Crisis? Creating Social Media Datasets for Crisis Management Research
Sprache: Englisch
Publikationsjahr: 2023
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2016
Verlag: De Gruyter
Titel der Zeitschrift, Zeitung oder Schriftenreihe: i-com
Jahrgang/Volume einer Zeitschrift: 15
(Heft-)Nummer: 3
DOI: 10.26083/tuprints-00022515
URL / URN: https://tuprints.ulb.tu-darmstadt.de/22515
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Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (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.

Freie Schlagworte: Social Media, Big Data, Datasets, Crisis Management
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-225159
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
300 Sozialwissenschaften > 360 Soziale Probleme, Sozialdienste, Versicherungen
300 Sozialwissenschaften > 380 Handel, Kommunikation, Verkehr
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Wissenschaft und Technik für Frieden und Sicherheit (PEASEC)
Hinterlegungsdatum: 01 Mär 2023 14:08
Letzte Änderung: 06 Mär 2023 11:03
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