Kartikeya Bajpai, & Anuj Jaiswal. (2011). A framework for analyzing collective action events on Twitter. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Recent years have witnessed multiple international protest movements which have purportedly been greatly affected by the use of Twitter, a micro-blogging platform. Social movement actors in Iran, Moldova, Kyrgyzstan and Thailand are thought to have utilized Twitter to spread information, co-ordinate protest activities, evade government censorship and, in some cases, to spread misinformation. We propose a framework for conceptualizing and analyzing Twitter data related to contentious collective action crises. Our primary research goal is to delineate a framework informed with a social movements lens and to demonstrate the framework by means of Twitter usage data related to the Thailand protests of 2010. Our proposed framework concerns itself with two aspects of protest activities and Twitter usage, namely, analyzing the content and structure of messages and our construct of Twitter protest waves.
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Suthep Chutiratanaphun, Rungsaridh Boonsin, Parida Kuneepong, & Julalux Suttirod. (2005). Land use / land cover change by tsunami 2004 in Thailand: A case study at phi phi Island, Krabi Province and Ban Num Kem Village, Pang Nga Province. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 301–303). Brussels: Royal Flemish Academy of Belgium.
Abstract: Aerial photo interpretation were utilized for monitoring land cover changes with emphasis on tsunami ravaged coastal regions in Phi Phi Island, Krabi Province and Ban Num Kem, Bang Muang, Pang Nga Province areas in the southern peninsula Thailand. All of the images acquired after the Dec 26/2004 tsunami hit, were analyzed and results were compared to image taken before to address the tsunami-affected communities' details. Results of interpretation show different land cover changes in different areas due to the former land cover/land use. It was also showed that aerial photo interpretation data are capable of identification on devastated areas with a high level of accuracy at scale of 1:25, 000. Special attention is given to a few examples of Ban Num Kem village in Takuepa District, Pang Nga Province and Phi Phi Island, Krabi Province.
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