Abstract
Emergency situations generate a high requirement for information, and on the other hand diminish its availability. In the last decade, intellectuals and government authorities have assessed the potential of information circulating through social networks, mainly the one originated from natural disasters. Because of its direct and fast way of communication, and because of the reach of its network, Twitter® is the most used social platform for crisis management. Twitter analytics is a rising area of study. The goal of this research is to analyze the time and content scopes of a significant dataset of tweets in the first 72 h of the 2017 Mexico earthquake around three official profiles. The methodology used is based on text mining techniques; the tweets have been classified into five categories based on the purpose, responses and behavior of both the authorities and the public. The results indicate that the messages about actions, information, and opinion categories predominated over emotions, and technology.
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References
Sakaki, T., Toriumi, F., Matsuo, Y.: Tweet trend analysis in an emergency situation. In: Proceedings of the Special Workshop on Internet Disasters - SWID 2011, no. July 2014, pp. 1–8 (2011)
Acar, A., Muraki, Y.: Twitter for crisis communication: lessons learned from Japan’s tsunami disaster. Int. J. Web Based Commun. 7(3), 392 (2011)
Chatfield, A.T., Scholl, H.J.J., Brajawidagda, U.: Tsunami early warnings via Twitter in government: net-savvy citizens’ co-production of time-critical public information services. Gov. Inf. Q. 30(4), 377–386 (2013)
de Albuquerque, J.P., Herfort, B., Brenning, A., Zipf, A.: A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management. Int. J. Geogr. Inf. Sci. 29(4), 667–689 (2015)
Li, H., Caragea, D., Caragea, C., Herndon, N.: Disaster response aided by tweet classification with a domain adaptation approach. J. Contingencies Cris. Manag. 26(1), 16–27 (2018)
Qu, Y., Huang, C., Zhang, P., Zhang, J.: Microblogging after a major disaster in China. In: Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work - CSCW 2011, no. July 2016, p. 25 (2011)
Hormazábal, C.: Comunicación e imagen en crisis: análisis de empresas de telecomuni- caciones en Chile tras el 27F de 2010. Cent. Estud. en Diseño y Comun. 40, 65–78 (2012)
Starbird, K., Palen, L.: Pass it on?: Retweeting in mass emergency. In: Proceedings of 7th International ISCRAM Conference, no. December 2004, pp. 1–10 (2010)
Wang, Z., Ye, X.: Social media analytics for natural disaster management. Int. J. Geogr. Inf. Sci. 32(1), 49–72 (2018)
Wei, Z., Qingpu, Z., Wei, S., Lei, W.: Role of social media in knowledge management during natural disaster management. Int. J. Adv. Inf. Sci. Serv. Sci. 4(4), 284–292 (2012)
Wu, Y., Liu, S., Yan, K., Liu, M., Wu, F.: OpinionFlow: visual analysis of opinion diffusion on social media. IEEE Trans. Vis. Comput. Graph. 2626(c), 1 (2014)
Morales, M.C., Cabezas, N.G., Jaime, K., Rendić, F.: Uso De Twitter En Desastres: El Terremoto De Iquique. Interciencia 43(May), 343–350 (2018)
Lchiguchi, T.: Robust and usable media for communication in a disaster, pp. 44–55 (2011)
Online, R., Chatfield, A., Brajawidagda, U.: Twitter tsunami early warning network: a social network analysis of Twitter information flows. In: 23rd Australasian Conference on Information Systems, pp. 1–10 (2012)
Jin, Y., Liu, B.F., Austin, L.L.: Examining the role of social media in effective crisis management. Commun. Res. 41(1), 74–94 (2014)
Cheong, F., Cheong, C.: Social media data mining: a social network analysis of tweets during the Australian 2010–2011 Floods. In: 15th Pacific Asia Conference … (2011)
Jaen-Cortés, C.I., Rivera-Aragón, S., Reidl-Martínez, L.M., García-Méndez, M.: Violencia de pareja a través de medios electrónicos en adolescentes mexicanos. Acta Investig. Psicológica 7(1), 2593–2605 (2017)
Xu, T., Chen, Y., Jiao, L., Zhao, B.Y., Hui, P., Fu, X.: Scaling microblogging services with divergent traffic demands. Lecture Notes Computer Science (Including Subseries Lecture Notes Artificial Intelligence Lecture Notes Bioinformatics). LNCS, vol. 7049, pp. 20–40 (2011)
Haworth, B., Bruce, E.: A Review of Volunteered Geographic Information for Disaster Management. The University of Sydney (2015)
Klonner, C., Marx, S., Usón, T., Porto de Albuquerque, J., Höfle, B.: Volunteered geographic information in natural hazard analysis: a systematic literature review of current approaches with a focus on preparedness and mitigation. ISPRS Int. J. Geo-Inf. 5(7), 103 (2016)
Wang, Z., Ye, X., Tsou, M.H.: Spatial, temporal, and content analysis of Twitter for wildfire hazards. Nat. Hazards 83(1), 523–540 (2016)
Hernández-Hernández, M.E., de la Roca Chiapas, J.M., Barragán, L.F.G.: Measurement of the Jungian psychological types in Mexican university students. Acta Investig. Psicológica 7(10), 2635–2643 (2017)
Méndez, M.D., Leiva, M.C., Bustos, C.B., Ramos, N.A., Moyano-Díaz, E.: Mapa exploratorio de intervenciones psicosociales frente al terremoto del 27 de Febrero de 2010 en la Zona Centro-Sur de Chile. Ter. Psicol. 28(2), 193–202 (2010)
Crist, C., Winn, J.: Educational Facilities Disaster and Crisis Management Guide Book 2006–2007. Florida Department of Education (2007)
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Henríquez-Coronel, P., García García, J., Herrera-Tapia, J. (2019). Management of Natural Disasters Based on Twitter Analytics. 2017 Mexico Earthquake. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_1
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