Riskr: A low-technological Web2.0 disaster service to monitor and share information
Farber, Jess, Myers, Trina, Trevathan, Jarrod, Atkinson, Ian, and Andersen, Trevor (2012) Riskr: A low-technological Web2.0 disaster service to monitor and share information. Proceedings of 15th International Conference on Network-Based Information Systems. NBiS 2012 15th International Conference on Network-Based Information Systems , 26-28 September 2012, Melbourne, VIC, Australia , pp. 311-318.
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View at Publisher Website: http://dx.doi.org/10.1109/NBiS.2012.12
Disaster management using the World Wide Web is an emergent field that uses technology to enhance user collaboration around disasters. While there exist a number of dedicated 'disaster portals', large social networks such as Twitter and Facebook, can facilitate the analysis and sharing of a collective intelligence regarding disaster information on a far greater scale. Social networks have the potential to increase accessibility to, and the use of a disaster portal. This paper presents the 'Riskr' project, which applies a low-technological solution to creating disaster portals fed by social networking messages, and the strategies used in its development. The system has been implemented using Twitter and tested by users to determine whether there is merit in having interoperability between social networks and disaster portals. Preliminary results suggest there is some benefit in using Twitter as a middleware between users and the implemented disaster service. A usability study showed that 70.5% of the users were able to estimate the location of a disaster within a certain error margin. Furthermore, 95% of users were able to successfully adapt to using the system. The results from the Riskr project suggest that the combination of online services and interoperability between disaster portals and social networks can further enhance disaster management initiatives.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||Web 2.0, disaster management, social networks|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 80%|
08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080505 Web Technologies (excl Web Search) @ 20%
|SEO Codes:||96 ENVIRONMENT > 9610 Natural Hazards > 961010 Natural Hazards in Urban and Industrial Environments @ 50%|
89 INFORMATION AND COMMUNICATION SERVICES > 8903 Information Services > 890301 Electronic Information Storage and Retrieval Services @ 50%
|Deposited On:||30 Aug 2012 16:45|
|Last Modified:||19 Feb 2013 13:53|
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