@inproceedings{8f8e1f355bb644b9a249cc00dec119ed,
title = "An approach to selecting keywords to track on twitter during a disaster",
abstract = "Several studies on Twitter usage during disasters analyze tweets collected using ad-hoc keywords pre-defined by researchers. While recent efforts have worked to improve this methodology, open questions remain about which keywords can be used to uncover tweets contributing to situational awareness (SA) and the quality of tweets returned using different terms. Herein we consider a novel methodology for uncovering relevant keywords one can use to search for tweets containing situational awareness. We provide a description of the methodology and initial results which suggest our approach may lead to better keywords to use for keyword searching during disasters.",
keywords = "Data mining, Sampling from twitter, Social media and disasters, Twitter",
author = "Kenneth Joseph and Landwehr, \{Peter M.\} and Carley, \{Kathleen M.\}",
year = "2014",
language = "English",
isbn = "9780692211946",
series = "ISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management",
publisher = "The Pennsylvania State University",
pages = "672--676",
booktitle = "ISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management",
note = "11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014 ; Conference date: 01-05-2014 Through 01-05-2014",
}