Tools and methods for capturing Twitter data during natural disasters

Bruns, Axel & Liang, Yuxian Eugene (2012) Tools and methods for capturing Twitter data during natural disasters. First Monday, 17(4), pp. 1-8.

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During the course of several natural disasters in recent years, Twitter has been found to play an important role as an additional medium for many–to–many crisis communication. Emergency services are successfully using Twitter to inform the public about current developments, and are increasingly also attempting to source first–hand situational information from Twitter feeds (such as relevant hashtags).

The further study of the uses of Twitter during natural disasters relies on the development of flexible and reliable research infrastructure for tracking and analysing Twitter feeds at scale and in close to real time, however. This article outlines two approaches to the development of such infrastructure: one which builds on the readily available open source platform yourTwapperkeeper to provide a low–cost, simple, and basic solution; and, one which establishes a more powerful and flexible framework by drawing on highly scaleable, state–of–the–art technology.

Impact and interest:

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ID Code: 49716
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Social media, Twitter, Tracking, Analysis, Twapperkeeper, CEDM
ISSN: 1396-0466
Subjects: Australian and New Zealand Standard Research Classification > LANGUAGES COMMUNICATION AND CULTURE (200000) > COMMUNICATION AND MEDIA STUDIES (200100) > Communication Technology and Digital Media Studies (200102)
Divisions: Current > Research Centres > Centre for Emergency & Disaster Management
Current > QUT Faculties and Divisions > Creative Industries Faculty
Past > Schools > Journalism, Media & Communication
Copyright Owner: Copyright 2012 Axel Bruns and Yuxian Eugene Liang
Copyright Statement: This work is licensed under a Creative Commons Attribution–NonCommercial–ShareAlike 3.0 Australia License.
Deposited On: 16 Apr 2012 22:57
Last Modified: 09 Sep 2016 05:29

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