Citizen Participation in Responding to Natural Disasters Through Twitter Messages

Author

Rizky Pamuji, Ismiarta Aknuranda, Fatwa Ramdani

Abstract

Citizen participation in collect and distribute information increase the role of the citizen involvement in local issues and increasing the benefits of society for the government and the environment. The contribution of citizens can be useful in helping to deal with environment problems and assist certain parties in meeting data needs, this is commonly referred to as citizen science. In its development, citizen science involvement in providing information began to involve social media as a platform for sharing information. In this study we try to explore citizen science of Indonesia, we conduct case study exploring how citizen in Indonesia used social media such as Twitter in response to one of the country’s worst disaster in 2018 namely Lombok Earthquake. By analyzing these user generate message we may know what the response of Indonesian citizen during event and understand more about citizen science in Indonesia through social media including its role and contribution. The information also may assist local communities in obtaining up-to-date information, providing assistance according to needs of the populace and use to manage and plan disaster relief both during and after the event.

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References


J. C. Varekamp et al., “VOLCANISM AND TECTONICS IN THE EASTERN SUNDA ARC , INDONESIA I " -- ’ " I,” vol. 24, pp. 303–312, 1989.

J. Paudel and H. Ryu, “Natural disasters and human capital : The case of Nepal ’ s earthquake,” World Dev., vol. 111, pp. 1–12, 2018.

D. S. Brookshire, S. E. Chang, H. Cochrane, R. A. Olson, A. Rose, and J. Steenson, Direct and Indirect Economic Losses from Earthquake Damage. 1997.

J. Qadir, A. Ali, R. ur Rasool, A. Zwitter, A. Sathiaseelan, and J. Crowcroft, “Crisis Analytics: Big Data Driven Crisis Response,” J. Int. Humanit. Action, pp. 1–21, 2016.

E. L. Shaw, D. Surry, and A. Green, “The Use of Social Media and Citizen Science to Identify , Track , and Report Birds,” vol. 167, pp. 103–108, 2015.

M. V Eitzel et al., “Citizen Science Terminology Matters : Exploring Key Terms,” vol. 2, no. 1, pp. 1–20, 2017.

M. Welvaert and P. Caley, “Citizen surveillance for environmental monitoring : combining the efforts of citizen science and crowdsourcing in a quantitative data framework,” Springerplus, 2016.

C. Cathy C. and K. G. Hilchey, “A review of citizen science and community-based environmental monitoring: issues and opportunities,” Ann. Clin. Lab. Sci., vol. 46, no. 5, pp. 562–565, 2016.

S. J. Pomeroy, L. M. Minaker, and C. L. Mah, “An exploration of citizen science for population health research in retail food environments,” Can. J. public Heal., pp. 4–6, 2017.

A. Kongthon, C. Haruechaiyasak, J. Pailai, and S. Kongyoung, “The Role of Social Media During a Natural Disaster: A Case Study of the 2011 Thai Flood,” Int. J. Innov. Technol. Manag., vol. 11, no. 03, p. 1440012, 2014.

J. Le Coz et al., “Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand,” J. Hydrol., vol. 541, pp. 766–777, 2016.

M. Tsubokura et al., “Twitter use in scientific communication revealed by visualization of information spreading by influencers within half a year after the Fukushima Daiichi nuclear power plant accident,” PLoS One, vol. 13, no. 9, pp. 1–14, 2018.

S. Daume and V. Galaz, “‘ Anyone Know What Species This Is ? ’ – Twitter Conversations as Embryonic Citizen Science Communities,” PLoS One, vol. 11, no. 3, pp. 1–25, 2016.

R. Lacassin, M. Devès, S. P. Hicks, J. Ampuero, and R. Bossu, “Rapid collaborative knowledge building via Twitter after significant geohazard events,” Geosci. Commun., no. October, pp. 1–23, 2019.

B. F. Liu, J. D. Fraustino, and Y. Jin, “Social Media Use During Disasters: How Information Form and Source Influence Intended Behavioral Responses,” Communic. Res., vol. 43, no. 5, pp. 626–646, 2016.

T. Sakaki, “Earthquake Shakes Twitter Users : Real-time Event Detection by Social Sensors,” pp. 851–860, 2010.

J. Prakash, S. Yogesh, K. D. Nripendra, A. Kumar, and K. Kaur, “Event classification and location prediction from tweets during disasters,” Ann. Oper. Res., 2017.




DOI: http://dx.doi.org/10.25126/jitecs.202052179