Tweets Flooded in Bandung 2016 Floods: Connecting Individuals and Organizations to Disaster Information
Anang Dwi Santoso(1*)
(1) Department of Public Administration, Faculty of Social and Political Sciences, Universitas Sriwijaya
(*) Corresponding Author
Abstract
In a natural disaster, social media has been widely used as one of the primary communication channels to supplement the traditional ones. However, there is a lack of empirical research analyzing this evidence, therefore the purpose of this study is to identify the information shared by Twitter users during the Bandung Flood of 2016 based on period, location, and account ownership. A dataset of 754 tweets was acquired using the NCapture feature in NVivo for content analysis. The study found that social media has significant benefits primarily when sharing information from affected areas to communities outside the region. In more detail, Twitter is used by 28.4%, primarily by those not impacted by the flood, to express good wishes and memorializing. It is because people in the affected area shared firsthand information (23.8%) to them. Then, in addition to citizens, media, NGOs, government, and community leaders who have been found in earlier studies, actors such as civil service organizations (2.9%) and political parties (0.5%) have also participated in disaster relief.
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Alexander, D. E. (2014). Social Media in Disaster Risk Reduction and Crisis Management. Science and Engineering Ethics, 20(3), 717–733. https://doi.org/10.1007/s11948-013-9502-z
Beneito-Montagut, R., Anson, S., Shaw, D., & Brewster, C. (2013). Governmental Social Media use for Emergency Communication. In Governmental SM use for Emergency Communication (pp. 828–833).
Binder, A. R. (2012). Figuring out #fukushima: An initial look at the functions and content of US twitter commentary about nuclear risk. Environmental Communication, 6(2), 268–277. https://doi.org/10.1080/17524032.2012.672442
Bucher, R. (1957). Blame and Hostility in Disaster. American Journal of Sociology, 62(5), 467–475. Retrieved from http://www.jstor.org/stable/2773239
Caragea, C. ., Squicciarini, A. ., Stehle, S. ., Neppalli, K. ., & Tapia, A. . (2014). Mapping moods: Geo-mapped sentiment analysis during hurricane sandy. In ISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management (pp. 642–651). Retrieved from http://www.iscram.org/legacy/ISCRAM2014/papers/p29.pdf
Crooks, A., Croitoru, A., Stefanidis, A., & Radzikowski, J. (2013). #Earthquake: Twitter as a Distributed Sensor System. Transactions in GIS, 17(1), 124–147. https://doi.org/10.1111/j.1467-9671.2012.01359.x
Freberg, K., & Palenchar, M. J. (2013). The convergence of Digital Negotiation and Risk Challenges: strategic Implications of Social Media for Risk and Crisis Communications. In H. S. N. Al-Deen & J. A. Hendricks (Eds.), Social Media and Strategic Communications (I, pp. 83–100). New York: PALGRAVE MACMILLAN.
Houston, J. B., Hawthorne, J., Perreault, M. F., Park, E. H., Hode, M. G., Halliwell, M. R., … Griffith, S. a. (2014). Social media and disasters: a functional framework for social media use in disaster planning, response, and research. Disasters, 39(1), 1–22. https://doi.org/10.1111/disa.12092
Jaeger, P. T., Shneiderman, B., Fleischmann, K. R., Preece, J., Qu, Y., & Fei Wu, P. (2007). Community response grids: E-government, social networks, and effective emergency management. Telecommunications Policy, 31(10–11), 592–604. https://doi.org/10.1016/j.telpol.2007.07.008
Keim, M. E., & Noji, E. (2011). Emergent use of social media: a new age of opportunity for disaster resilience. American Journal of Disaster Medicine, 6(1), 47. https://doi.org/10.5055/ajdm.2010.0000
Kongthon, A., Haruechaiyasak, C., Pailai, J., & Kongyoung, S. (2014). The Role of Social Media During a Natural Disaster: A Case Study of the 2011 Thai Flood. In International Journal of Innovation and Technology Management (Vol. 11, p. 1440012). https://doi.org/10.1142/S0219877014400124
Kumar, S., Barbier, G., Ali Abbasi, M. A., & Liu, H. (2011). TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief. In Fifth International AAAI Conference on Weblogs and Social Media (pp. 661–662). https://doi.org/10.1145/1935826.1935854
Lindsay, B. R. (2011). Social Media and Disasters: Current Uses, Future Options and Policy Considerations. Congressional Research Service Reports. https://doi.org/R41987
Lobb, A., Mock, N., & Hutchinson, P. L. (2012). Traditional and social media coverage and charitable giving following the 2010 earthquake in Haiti. Prehospital and Disaster Medicine, 27(4), 319–324. https://doi.org/10.1017/S1049023X12000908
Lock, R., Cooke, L., & Jackson, T. (2013). Online Social Networking, Order and Disorder. Electronic Journal of E-Government, 11(2), 229–240.
Lundgren, R. E., & McMakin, A. H. (2009). Risk communication: A handbook for communicating environmental, safety, and health risks. (L. Hanzo, Ed.) (IV). New Jersey: Wiley.
Mirza, M. (2003). Climate change and extreme weather events: can developing countries adapt? Climate Policy, 3(3), 233–248. https://doi.org/10.1016/S1469-3062(03)00052-4
Miyabe, M., Miura, A., & Aramaki, E. (2012). Use trend analysis of twitter after the great east japan earthquake. In a conference on computer supported cooperative work companion (pp. 175–178). Seattle. https://doi.org/10.1145/2141512.2141571
Murthy, D., & Longwell, S. A. (2013). TWITTER AND DISASTERS: The uses of Twitter during the 2010 Pakistan floods. Information Communication and Society, 16(6), 837–855. https://doi.org/10.1080/1369118X.2012.696123
Qu, Y., Huang, C., Zhang, P., & Zhang, J. (2011). Microblogging after a major disaster in China. In Proceedings of the ACM 2011 conference on Computer supported cooperative work - CSCW ’11 (p. 25). https://doi.org/10.1145/1958824.1958830
Rive, G., Hare, J., Thomas, J., & Nankivell, K. (2012). Social Media in an Emergency: A Best Practice Guide. Opus. Welington: Wellington Region CDEM Group.
Sakaki, T., Okazaki, M., & Matsuo, Y. (2010). Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors. In Proceedings of the 19th International Conference on World Wide Web (pp. 851–860). https://doi.org/10.1145/1772690.1772777
Shklovski, I., Palen, L., & Sutton, J. (2008). Finding Community Through Information and Communication Technology During Disaster Events. In ACM Conference on Computer Supported Cooperative Work. https://doi.org/10.1145/1460563.1460584
Simon, T., Goldberg, A., Aharonson-Daniel, L., Leykin, D., & Adini, B. (2014). Twitter in the crossfire - The use of social media in the Westgate mall terror attack in Kenya. PLoS ONE, 9(8). https://doi.org/10.1371/journal.pone.0104136
Takahashi, B., Tandoc, E. C., & Carmichael, C. (2015). Communicating on Twitter during a disaster: An analysis of tweets during Typhoon Haiyan in the Philippines. Computers in Human Behavior, 50, 392–398. https://doi.org/10.1016/j.chb.2015.04.020
Vieweg, S., Hughes, A. L., Starbird, K., & Palen, L. (2010). Microblogging During Two Natural Hazards Events: What Twitter May Contribute to Situational Awareness. In Proceedings of the 28th international conference on Human factors in computing systems - CHI ’10. https://doi.org/10.1145/1753326.1753486
Xiao, Y., Huang, Q., & Wu, K. (2015). Understanding social media data for disaster management. Natural Hazards, 79(3), 1663–1679. https://doi.org/10.1007/s11069-015-1918-0
Zhu, Y. Q., & Kindarto, A. (2016). A garbage can model of government IT project failures in developing countries: The effects of leadership, decision structure and team competence. Government Information Quarterly, 33(4), 629–637. https://doi.org/10.1016/j.giq.2016.08.002
DOI: https://doi.org/10.22146/ijg.34767
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