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Strategy for Processing and Analyzing Social Media Data Streams in Emergencies

Moi, Matthias and Friberg, Therese and Marterer, Robin and Reuter, Christian and Ludwig, Thomas and Markham, Deborah and Hewlett, Mike and Muddiman, Andrew (2015):
Strategy for Processing and Analyzing Social Media Data Streams in Emergencies.
Brest, France, In: Proceedings of the International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), Brest, France, [Online-Edition: http://www.peasec.de/paper/2015/2015_Moietal_SocialMediaData...],
[Conference or Workshop Item]

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 and Friberg, Therese and Marterer, Robin and Reuter, Christian and Ludwig, Thomas and Markham, Deborah and Hewlett, Mike and Muddiman, Andrew
Title: Strategy for Processing and Analyzing Social Media Data Streams in Emergencies
Language: German
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.

Place of Publication: Brest, France
Uncontrolled Keywords: CSCW,EmerGent,SMO
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Science and Technology for Peace and Security (PEASEC)
Event Title: Proceedings of the International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
Event Location: Brest, France
Date Deposited: 08 Jan 2019 13:29
Official URL: http://www.peasec.de/paper/2015/2015_Moietal_SocialMediaData...
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