Reuter, Christian ; Amelunxen, Christoph ; Moi, Matthias
Hrsg.: Mayr, Heinrich C. ; Pinzger, Martin (2016)
Semi-Automatic Alerts and Notifications for Emergency Services based on Cross-Platform Social Media Data - Evaluation of a Prototype.
Informatik 2016: von Menschen für Menschen. Klagenfurt (26.-30. September 2016)
Konferenzveröffentlichung, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
The convergence of social networking and mobile media technology is shifting the way how people communicate and gain or share information. People are using social media to a greater extent, also in emergency situations. During disasters throughout the world, such as the 2010 Haiti earthquake, the 2013 European floods, or the terror attacks 2015 in Paris and 2016 in Brussels, this has been illustrated again. Often information about disasters even finds its way faster to social media than it reaches regular news companies and emergency services. However, approaches for processing and analyzing the vast quantities of data produced have even more potential. Yet many emergency services still have not found a way to put this potential to an effective use. Within our project EmerGent we are developing a system to process and analyse information from social media particularly tailored for the specific needs of emergency services. The aim is to transform the high volume of noisy data into a low volume of rich content that is useful to emergency personnel. In the first part of this paper we present our approach from a user interface perspective. The second part deals with the evaluation of the approach and the derivation of future potentials of the approach.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Herausgeber: | Mayr, Heinrich C. ; Pinzger, Martin |
| Autor(en): | Reuter, Christian ; Amelunxen, Christoph ; Moi, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | Semi-Automatic Alerts and Notifications for Emergency Services based on Cross-Platform Social Media Data - Evaluation of a Prototype |
| Sprache: | Englisch |
| Publikationsjahr: | 2016 |
| Ort: | Bonn |
| Verlag: | Gesellschaft für Informatik e.V |
| Buchtitel: | Informatik 2016 |
| Reihe: | GI-Edition. Proceedings |
| Band einer Reihe: | 259 |
| Veranstaltungstitel: | Informatik 2016: von Menschen für Menschen |
| Veranstaltungsort: | Klagenfurt |
| Veranstaltungsdatum: | 26.-30. September 2016 |
| URL / URN: | http://subs.emis.de/LNI/Proceedings/Proceedings259/P-259.pdf... |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | The convergence of social networking and mobile media technology is shifting the way how people communicate and gain or share information. People are using social media to a greater extent, also in emergency situations. During disasters throughout the world, such as the 2010 Haiti earthquake, the 2013 European floods, or the terror attacks 2015 in Paris and 2016 in Brussels, this has been illustrated again. Often information about disasters even finds its way faster to social media than it reaches regular news companies and emergency services. However, approaches for processing and analyzing the vast quantities of data produced have even more potential. Yet many emergency services still have not found a way to put this potential to an effective use. Within our project EmerGent we are developing a system to process and analyse information from social media particularly tailored for the specific needs of emergency services. The aim is to transform the high volume of noisy data into a low volume of rich content that is useful to emergency personnel. In the first part of this paper we present our approach from a user interface perspective. The second part deals with the evaluation of the approach and the derivation of future potentials of the approach. |
| Freie Schlagworte: | CSCW,EmerGent,HCI,Kooperation,SMO |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Wissenschaft und Technik für Frieden und Sicherheit (PEASEC) |
| Hinterlegungsdatum: | 08 Jan 2019 13:16 |
| Letzte Änderung: | 03 Jul 2024 02:33 |
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| Suche nach Titel in: | TUfind oder in Google |
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Semi-Automatic Alerts and Notifications for Emergency Services based on Cross-Platform Social Media Data - Evaluation of a Prototype. (deposited 08 Jan 2019 13:16)
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