Finding requests in social media for disaster relief

Tahora H. Nazer; Fred Morstatter; Harsh Dani; Huan Liu

doi:10.1109/ASONAM.2016.7752432

Finding requests in social media for disaster relief

Tahora H. Nazer, Fred Morstatter, Harsh Dani, Huan Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

38 Scopus citations

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 language	English (US)
Title of host publication	Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
Editors	Ravi Kumar, James Caverlee, Hanghang Tong
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1410-1413
Number of pages	4
ISBN (Electronic)	9781509028467
DOIs	https://doi.org/10.1109/ASONAM.2016.7752432
State	Published - Nov 21 2016
Event	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 - San Francisco, United States Duration: Aug 18 2016 → Aug 21 2016

Publication series

Name	Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016

Other

Other	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
Country/Territory	United States
City	San Francisco
Period	8/18/16 → 8/21/16

ASJC Scopus subject areas

Computer Networks and Communications
Sociology and Political Science
Communication

Access to Document

10.1109/ASONAM.2016.7752432

Cite this

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

Finding requests in social media for disaster relief. / Nazer, Tahora H.; Morstatter, Fred; Dani, Harsh et al.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. ed. / Ravi Kumar; James Caverlee; Hanghang Tong. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1410-1413 7752432 (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nazer, TH, Morstatter, F, Dani, H & Liu, H 2016, Finding requests in social media for disaster relief. in R Kumar, J Caverlee & H Tong (eds), Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016., 7752432, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1410-1413, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, United States, 8/18/16. https://doi.org/10.1109/ASONAM.2016.7752432

Nazer TH, Morstatter F, Dani H, Liu H. Finding requests in social media for disaster relief. In Kumar R, Caverlee J, Tong H, editors, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1410-1413. 7752432. (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016). doi: 10.1109/ASONAM.2016.7752432

Nazer, Tahora H. ; Morstatter, Fred ; Dani, Harsh et al. / Finding requests in social media for disaster relief. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. editor / Ravi Kumar ; James Caverlee ; Hanghang Tong. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1410-1413 (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

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title = "Finding requests in social media for disaster relief",

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.",

author = "Nazer, {Tahora H.} and Fred Morstatter and Harsh Dani and Huan Liu",

note = "Funding Information: This work is sponsored, in part, by National Science Foundation grant 1461886 and Office of Naval Research grant N00014-16-1-2257 Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 ; Conference date: 18-08-2016 Through 21-08-2016",

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AB - 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.

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Finding requests in social media for disaster relief

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