TU Darmstadt / ULB / TUbiblio

Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting system

Kaufhold, Marc-André ; Rupp, Nicola ; Reuter, Christian ; Habdank, Matthias (2019)
Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting system.
In: Behaviour & Information Technology (BIT), 38 (3)
doi: 10.1080/0144929X.2019.1620334
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The research field of crisis informatics examines, amongst others, the potentials and barriers of social media use during conflicts and crises. Social media allow emergency services to reach the public easily in the context of crisis communication and receive valuable information (e.g. pictures) from social media data. However, the vast amount of data generated during large-scale incidents can lead to issues of information overload and quality. To mitigate these issues, this paper proposes the semi-automatic creation of alerts including keyword, relevance and information quality filters based on cross-platform social media data. We conducted empirical studies and workshops with emergency services across Europe to raise requirements, then iteratively designed and implemented an approach to support emergency services, and performed multiple evaluations, including live demonstrations and field trials, to research the potentials of social media-based alerts. Finally, we present the findings and implications based on semi-structured interviews with emergency services, highlighting the need for usable configurability and white-box algorithm representation.

Typ des Eintrags: Artikel
Erschienen: 2019
Autor(en): Kaufhold, Marc-André ; Rupp, Nicola ; Reuter, Christian ; Habdank, Matthias
Art des Eintrags: Bibliographie
Titel: Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting system
Sprache: Englisch
Publikationsjahr: 22 Mai 2019
Verlag: Taylor & Francis
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Behaviour & Information Technology (BIT)
Jahrgang/Volume einer Zeitschrift: 38
(Heft-)Nummer: 3
DOI: 10.1080/0144929X.2019.1620334
URL / URN: https://www.tandfonline.com/doi/full/10.1080/0144929X.2019.1...
Zugehörige Links:
Kurzbeschreibung (Abstract):

The research field of crisis informatics examines, amongst others, the potentials and barriers of social media use during conflicts and crises. Social media allow emergency services to reach the public easily in the context of crisis communication and receive valuable information (e.g. pictures) from social media data. However, the vast amount of data generated during large-scale incidents can lead to issues of information overload and quality. To mitigate these issues, this paper proposes the semi-automatic creation of alerts including keyword, relevance and information quality filters based on cross-platform social media data. We conducted empirical studies and workshops with emergency services across Europe to raise requirements, then iteratively designed and implemented an approach to support emergency services, and performed multiple evaluations, including live demonstrations and field trials, to research the potentials of social media-based alerts. Finally, we present the findings and implications based on semi-structured interviews with emergency services, highlighting the need for usable configurability and white-box algorithm representation.

Freie Schlagworte: A-Paper, HCI, KontiKat, SocialMedia, x3 Wissenschaft und Technik für Frieden und Sicherheit PEASEC
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Wissenschaft und Technik für Frieden und Sicherheit (PEASEC)
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CRISP - Center for Research in Security and Privacy
Zentrale Einrichtungen
Zentrale Einrichtungen > Interdisziplinäre Arbeitsgruppe Naturwissenschaft, Technik und Sicherheit (IANUS)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet
Hinterlegungsdatum: 22 Aug 2019 13:55
Letzte Änderung: 03 Sep 2021 16:12
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen