Abstract

Natural disasters create an uncertain environment in which first responders face the challenge of locating affected people and dispatching aids and resources in a timely manner. In recent years, crowdsourcing systems have been developed to exploit the power of volunteers to facilitate humanitarian logistic efforts. Most of the current systems require volunteers to directly provide input to them and do not have the capability to benefit the large number of disaster-related posts that are published on social media. Hence, many social media posts in the aftermath of disasters remain hidden. Among these hidden posts are those that need immediate attention, such as requests for help. Hence, we have implemented a system that detects requests on Twitter using content and context of tweets.

Original languageEnglish (US)
Title of host publicationProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1410-1413
Number of pages4
ISBN (Electronic)9781509028467
DOIs
StatePublished - Nov 21 2016
Event2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 - San Francisco, United States
Duration: Aug 18 2016Aug 21 2016

Other

Other2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
CountryUnited States
CitySan Francisco
Period8/18/168/21/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Sociology and Political Science
  • Communication

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  • Cite this

    Nazer, T. H., Morstatter, F., Dani, H., & Liu, H. (2016). Finding requests in social media for disaster relief. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 (pp. 1410-1413). [7752432] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2016.7752432