Crisis Mapping During Natural Disasters via Text Analysis of Social Media Messages

  • Stefano Cresci
  • Andrea Cimino
  • Felice Dell’Orletta
  • Maurizio Tesconi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9419)


Recent disasters demonstrated the central role of social media during emergencies thus motivating the exploitation of such data for crisis mapping. We propose a crisis mapping system that addresses limitations of current state-of-the-art approaches by analyzing the textual content of disaster reports from a twofold perspective. A damage detection component employs a SVM classifier to detect mentions of damage among emergency reports. A novel geoparsing technique is proposed and used to perform message geolocation. We report on a case study to show how the information extracted through damage detection and message geolocation can be combined to produce accurate crisis maps. Our crisis maps clearly detect both highly and lightly damaged areas, thus opening up the possibility to prioritize rescue efforts where they are most needed.


Twitter Social media mining Emergency management Crisis mapping Geoparsing 



The authors would like to thank Matteo Abrate and Salvatore Rinzivillo, for their insightful suggestions about data visualization. This research was supported by the .it domain registration authority (Registro .it) funded project SoS - Social Sensing (


  1. 1.
    Attardi, G., Dell’Orletta, F., Simi, M., Turian, J.: Accurate dependency parsing with a stacked multilayer perceptron. In: Evalita 2009 (2009)Google Scholar
  2. 2.
    Avvenuti, M., Cresci, S., La Polla, M., Marchetti, A., Tesconi, M.: Earthquake emergency management by social sensing. In: PERCOM 2014 Workshops. IEEE (2014)Google Scholar
  3. 3.
    Avvenuti, M., Cresci, S., Marchetti, A., Meletti, C., Tesconi, M.: EARS (earthquake alert and report system): a real time decision support system for earthquake crisis management. In: KDD 2014. ACM (2014)Google Scholar
  4. 4.
    Avvenuti, M., Del Vigna, F., Cresci, S., Marchetti, A., Tesconi, M.: Pulling information from social media in the aftermath of unpredictable disasters. In: ICT-DM 2015. IEEE (2015)Google Scholar
  5. 5.
    Birregah, B., Top, T., Perez, C., Châtelet, E., Matta, N., Lemercier, M., Snoussi, H.: Multi-layer crisis mapping: a social media-based approach. In: WETICE 2012. IEEE (2012)Google Scholar
  6. 6.
    Cameron, M.A., Power, R., Robinson, B., Yin, J.: Emergency situation awareness from twitter for crisis management. In: WWW 2012 Companion. ACM (2012)Google Scholar
  7. 7.
    Cheng, Z., Caverlee, J., Lee, K.: You are where you tweet: a content-based approach to geo-locating twitter users. In: CIKM 2010. ACM (2010)Google Scholar
  8. 8.
    Cresci, S., Tesconi, M., Cimino, A., Dell’Orletta, F.: A linguistically-driven approach to cross-event damage assessment of natural disasters from social media messages. In: WWW 2015 Companion. ACM (2015)Google Scholar
  9. 9.
    Dell’Orletta, F.: Ensemble system for part-of-speech tagging. In: Evalita 2009 (2009)Google Scholar
  10. 10.
    Ferragina, P., Scaiella, U.: Tagme: on-the-fly annotation of short text fragments (by wikipedia entities). In: CIKM 2010. ACM (2010)Google Scholar
  11. 11.
    Gelernter, J., Balaji, S.: An algorithm for local geoparsing of microtext. GeoInformatica 17(4), 635–667 (2013)CrossRefGoogle Scholar
  12. 12.
    Goolsby, R.: Social media as crisis platform: the future of community maps/crisis maps. ACM Trans. Intell. Syst. Technol. 1(1), 1–11 (2010)CrossRefGoogle Scholar
  13. 13.
    Hughes, A.L., Palen, L.: Twitter adoption and use in mass convergence and emergency events. Int. J. Emerg. Manag. 6(3–4), 248–260 (2009)CrossRefGoogle Scholar
  14. 14.
    Imran, M., Castillo, C., Diaz, F., Vieweg, S.: Processing social media messages in mass emergency: a survey. ACM Comput. Surv. 47(4), 67 (2015)CrossRefGoogle Scholar
  15. 15.
    Liang, Y., Caverlee, J., Mander, J.: Text vs. images: on the viability of social media to assess earthquake damage. In WWW 2013 Companion. ACM (2013)Google Scholar
  16. 16.
    Meier, P.: New information technologies and their impact on the humanitarian sector. Int. Rev. Red Cross 93, 1239–1263 (2011)CrossRefGoogle Scholar
  17. 17.
    Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C.: Dbpedia spotlight: sheddinglight on the web of documents. In: Semantics 2011. ACM (2011)Google Scholar
  18. 18.
    Middleton, S.E., Middleton, L., Modafferi, S.: Realtime crisis mapping of natural disasters using social media. IEEE Intell. Syst. 29(2), 9–17 (2014)CrossRefGoogle Scholar
  19. 19.
    Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: WWW 2010. ACM (2010)Google Scholar
  20. 20.
    Mora Segura, Á., de Lara, J., Sánchez Cuadrado, J.: Rapid development of interactive applications based on online social networks. In: Benatallah, B., Bestavros, A., Manolopoulos, Y., Vakali, A., Zhang, Y. (eds.) WISE 2014, Part II. LNCS, vol. 8787, pp. 505–520. Springer, Heidelberg (2014) CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Stefano Cresci
    • 1
    • 2
  • Andrea Cimino
    • 3
  • Felice Dell’Orletta
    • 3
  • Maurizio Tesconi
    • 2
  1. 1.Bell LabsAlcatel-LucentParisFrance
  2. 2.Institute for Informatics and Telematics, IIT-CNRPisaItaly
  3. 3.Institute for Computational Linguistics, ILC-CNRPisaItaly

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