Abstract
This research tries to seek the social media role as communication media in disaster management. Since the beginning of 2021, Indonesia has been affected by various disasters. In January, floods occurred in South Kalimantan, an earthquake in West Sulawesi, a landslide in Sumedang, an airplane crash around Kepulauan Seribu Regency, and volcano eruptions in Mounts Semeru and Merapi. On social media, those disasters became a trending topic on Twitter. This research used a qualitative approach and Q-DAS (Qualitative Data Analysis Software). This research found that Twitter could spread information regarding disaster mitigation through hashtags. Also, Twitter helped report updates, distribute supplies, inform requests for help and coordination, and criticize the government. In the coordination aspect of the five disasters, plane crashes, landslides and volcanic eruptions would attract volunteers, while floods, earthquakes and landslides would collect donations. The empathy aspect dominated the parameters of understanding different perspectives, with three disasters, landslides, earthquakes, and floods.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Anparasan, A., Lejeune, M., Columbia, D.: Analyzing the response to epidemics : concept of evidence-based Haddon matrix. J. Humanit. Logist. Supply Chain Manage. 7(3), 266–283 (2017). https://doi.org/10.1108/JHLSCM-06-2017-0023
Hernantes, J., Maraña, P., Gimenez, R., Sarriegi, J.M., Labaka, L.: Towards resilient cities: a maturity model for operationalizing resilience. Cities 84, 96–103 (2019). https://doi.org/10.1016/j.cities.2018.07.010
Adam, N.R., Shafiq, B., Staffin, R.: Spatial computing and social media in the context of disaster management. IEEE Intell. Syst. 27(6), 90–97 (2012). https://doi.org/10.1109/MIS.2012.113
Panagiotopoulos, P., Barnett, J., Bigdeli, A.Z., Sams, S.: Social media in emergency management: Twitter as a tool for communicating risks to the public. Technol. Forecast. Soc. Change 111, 86–96 (2016). https://doi.org/10.1016/j.techfore.2016.06.010
Carley, K.M., Malik, M., Landwehr, P.M., Pfeffer, J., Kowalchuck, M.: Crowd sourcing disaster management: the complex nature of Twitter usage in Padang Indonesia. Saf. Sci. 90, 48–61 (2016). https://doi.org/10.1016/j.ssci.2016.04.002
Fry, J., Binner, J.M.: Elementary modelling and behavioural analysis for emergency evacuations using social media. Eur. J. Oper. Res. 249(3), 1014–1023 (2016). https://doi.org/10.1016/j.ejor.2015.05.049
Rogers, E.B., Rose, J.: A critical exploration of women’s gendered experiences in outdoor leadership. J. Exp. Educ. 42(1), 37–50 (2019). https://doi.org/10.1177/1053825918820710
Bosley, J.C., et al.: Decoding twitter: surveillance and trends for cardiac arrest and resuscitation communication. Resuscitation 84(2), 206–212 (2013). https://doi.org/10.1016/j.resuscitation.2012.10.017
Anson, S., Watson, H., Wadhwa, K., Metz, K.: Analysing social media data for disaster preparedness: understanding the opportunities and barriers faced by humanitarian actors. Int. J. Disaster Risk Reduct. 21, 131–139 (2017). https://doi.org/10.1016/j.ijdrr.2016.11.014
Havet, N., Bayart, C., Bonnel, P.: Why do Gender differences in daily mobility behaviours persist among workers? Transp. Res. Part A Policy Pract. 145, 34–48 (2021). https://doi.org/10.1016/j.tra.2020.12.016
Che, H.W., et al.: PRAISE-HK: a personalized real-time air quality informatics system for citizen participation in exposure and health risk management. Sustain. Cities Soc. 54, 101986 (2020). https://doi.org/10.1016/j.scs.2019.101986
Haddad, L., Aouachria, Z., Haddad, D.: How to use hydrogen in a new strategy to mitigate urban air pollution and preserve human health. Int. J. Sustain. Dev. Plan. 15(7), 1007–1015 (2020). https://doi.org/10.18280/IJSDP.150705
Gobin-Rahimbux, B., et al.: A systematic literature review on ICT architectures for smart Mauritian local council. Transforming Gov. People Process Policy 14(2), 261–281 (2020). https://doi.org/10.1108/TG-07-2019-0062
Varga, B., Tettamanti, T., Kulcsár, B., Qu, X.: Public transport trajectory planning with probabilistic guarantees. Transp. Res. Part B Methodol. 139, 81–101 (2020). https://doi.org/10.1016/j.trb.2020.06.005
Olfindo, R.: Transport accessibility, residential satisfaction, and moving intention in a context of limited travel mode choice. Transp. Res. Part A Policy Pract. 145, 153–166 (2021). https://doi.org/10.1016/j.tra.2021.01.012
Karami, A., Shah, V., Vaezi, R., Bansal, A.: Twitter speaks: A case of national disaster situational awareness. J. Inf. Sci. 46(3), 313–324 (2020). https://doi.org/10.1177/0165551519828620
Dias, M.C.D.A., et al.: Vulnerability index related to populations at-risk for landslides in the Brazilian Early Warning System (BEWS). Int. J. Disast. Risk Reduction 49, 101742 (2020). https://doi.org/10.1016/j.ijdrr.2020.101742
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Kurniawan, D., Sutan, A.J., Nurmandi, A., Loilatu, M.J., Salahudin (2021). Social Media as Tools of Disaster Mitigation, Studies on Natural Disasters in Indonesia. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1499. Springer, Cham. https://doi.org/10.1007/978-3-030-90179-0_48
Download citation
DOI: https://doi.org/10.1007/978-3-030-90179-0_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90178-3
Online ISBN: 978-3-030-90179-0
eBook Packages: Computer ScienceComputer Science (R0)