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
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2015 |
| Creators: | Moi, Matthias ; Friberg, Therese ; Marterer, Robin ; Reuter, Christian ; Ludwig, Thomas ; Markham, Deborah ; Hewlett, Mike ; Muddiman, Andrew |
| Type of entry: | Bibliographie |
| Title: | Strategy for processing and analyzing social media data streams in emergencies |
| Language: | German |
| Date: | 2015 |
| Publisher: | IEEE |
| Book Title: | Proceedings of the 2nd 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) |
| Event Title: | International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) |
| Event Location: | Rennes, France |
| Event Dates: | 30.11.2015-02.12.2015 |
| DOI: | 10.1109/ICT-DM.2015.7402055 |
| URL / URN: | http://www.peasec.de/paper/2015/2015_Moietal_SocialMediaData... |
| 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. |
| Uncontrolled Keywords: | CSCW,EmerGent,SMO |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Science and Technology for Peace and Security (PEASEC) |
| Date Deposited: | 08 Jan 2019 13:29 |
| Last Modified: | 22 Oct 2021 11:55 |
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