Processing social media data for crisis management in Athena

AKHGAR, Babak and GIBSON, Helen (2015). Processing social media data for crisis management in Athena. In: JAHANKHANI, Hamid, CARLILE, Alex, AKHGAR, Babak, TAAL, Amie, HESSAMI, Ali G. and HOSSEINIAN-FAR, Amin, (eds.) Global Security, Safety and Sustainability: Tomorrow's Challenges of Cyber Security. Communications in Computer and Information Science (534). Springer, 3-14.

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Abstract

During a crisis citizens turn to their smartphones. They report what they see, they comment on other’s reports, they offer their help, support and sympathy and, in doing so, they create vast amounts of data. Meanwhile, law enforcement agencies (LEAs) and first responders including humanitarian relief agencies are desperately trying to improve their own situational awareness, but can struggle to do so, especially in places that cannot be easily, quickly or safely reached. Since this user-generated content is often posted to social media, LEAs can tap into these resources by analysing this data. However, making sense of this data is not straightforward. In this paper we present a system that is able to process and analyse this data through categorisation and crisis taxonomies, classification techniques and sentiment analysis. This processed data can then be presented back to LEAs in informative ways to allow them to enhance their situation awareness of the current crisis.

Item Type:	Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Identification Number:	https://doi.org/10.1007/978-3-319-23276-8_1
Page Range:	3-14
Depositing User:	Helen Gibson
Date Deposited:	26 Jan 2016 11:47
Last Modified:	18 Mar 2021 18:30
URI:	https://shura.shu.ac.uk/id/eprint/11008

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