Moi, Matthias ; Friberg, Therese ; Marterer, Robin ; Reuter, Christian ; Ludwig, Thomas ; Markham, Deborah ; Hewlett, Mike ; Muddiman, Andrew (2015)
Strategy for processing and analyzing social media data streams in emergencies.
International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). Rennes, France (30.11.2015-02.12.2015)
doi: 10.1109/ICT-DM.2015.7402055
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
People are using social media to a greater extent, particularly in emergency situations. However, approaches for processing and analyzing the vast quantities of data produced currently lag far behind. In this paper we discuss important steps, and the associated challenges, for processing and analyzing social media in emergencies. In our research project EmerGent, a huge volume of low-quality messages will be continuously gathered from a variety of social media services such as Facebook or Twitter. Our aim is to design a software system that will process and analyze social media data, transforming the high volume of noisy data into a low volume of rich content that is useful to emergency personnel. Therefore, suitable techniques are needed to extract and condense key information from raw social media data, allowing detection of relevant events and generation of alerts pertinent to emergency personnel.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Moi, Matthias ; Friberg, Therese ; Marterer, Robin ; Reuter, Christian ; Ludwig, Thomas ; Markham, Deborah ; Hewlett, Mike ; Muddiman, Andrew |
| Art des Eintrags: | Bibliographie |
| Titel: | Strategy for processing and analyzing social media data streams in emergencies |
| Sprache: | Deutsch |
| Publikationsjahr: | 2015 |
| Verlag: | IEEE |
| Buchtitel: | Proceedings of the 2nd 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) |
| Veranstaltungstitel: | International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) |
| Veranstaltungsort: | Rennes, France |
| Veranstaltungsdatum: | 30.11.2015-02.12.2015 |
| DOI: | 10.1109/ICT-DM.2015.7402055 |
| URL / URN: | http://www.peasec.de/paper/2015/2015_Moietal_SocialMediaData... |
| Kurzbeschreibung (Abstract): | People are using social media to a greater extent, particularly in emergency situations. However, approaches for processing and analyzing the vast quantities of data produced currently lag far behind. In this paper we discuss important steps, and the associated challenges, for processing and analyzing social media in emergencies. In our research project EmerGent, a huge volume of low-quality messages will be continuously gathered from a variety of social media services such as Facebook or Twitter. Our aim is to design a software system that will process and analyze social media data, transforming the high volume of noisy data into a low volume of rich content that is useful to emergency personnel. Therefore, suitable techniques are needed to extract and condense key information from raw social media data, allowing detection of relevant events and generation of alerts pertinent to emergency personnel. |
| Freie Schlagworte: | CSCW,EmerGent,SMO |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Wissenschaft und Technik für Frieden und Sicherheit (PEASEC) |
| Hinterlegungsdatum: | 08 Jan 2019 13:29 |
| Letzte Änderung: | 22 Okt 2021 11:55 |
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