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CORec-Cri: How collaborative and social technologies can help to contextualize crises?

Published 3 Oct 2023 in cs.CY and cs.IR | (2310.02143v1)

Abstract: Crisis situations can present complex and multifaceted challenges, often requiring the involvement of multiple organizations and stakeholders with varying areas of expertise, responsibilities, and resources. Acquiring accurate and timely information about impacted areas is crucial to effectively respond to these crises. In this paper, we investigate how collaborative and social technologies help to contextualize crises, including identifying impacted areas and real-time needs. To this end, we define CORec-Cri (Contextulized Ontology-based Recommender system for crisis management) based on existing work. Our motivation for this approach is two-fold: first, effective collaboration among stakeholders is essential for efficient and coordinated crisis response; second, social computing facilitates interaction, information flow, and collaboration among stakeholders. We detail the key components of our system design, highlighting its potential to support decision-making, resource allocation, and communication among stakeholders. Finally, we provide examples of how our system can be applied to contextualize crises to improve crisis management.

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References (27)
  1. N. Kapucu and V. Garayev, “Collaborative decision-making in emergency and disaster management,” International Journal of Public Administration, vol. 34, no. 6, pp. 366–375, 2011.
  2. C. F. Parker, D. Nohrstedt, J. Baird, H. Hermansson, O. Rubin, and E. Baekkeskov, “Collaborative crisis management: a plausibility probe of core assumptions,” Policy and Society, vol. 39, no. 4, 2020.
  3. M. Parameswaran and A. B. Whinston, “Social computing: An overview,” Communications of the association for Information Systems, vol. 19, no. 1, p. 37, 2007.
  4. J. P. Singh, Y. K. Dwivedi, N. P. Rana, A. Kumar, and K. K. Kapoor, “Event classification and location prediction from tweets during disasters,” Annals of Operations Research, vol. 283, pp. 737–757, 2019.
  5. K. C. Finch, K. R. Snook, C. H. Duke, K.-W. Fu, Z. T. H. Tse, A. Adhikari, and I. C.-H. Fung, “Public health implications of social media use during natural disasters, environmental disasters, and other environmental concerns,” Natural Hazards, vol. 83, pp. 729–760, 2016.
  6. W. M. Lim, “Social media in medical and health care: opportunities and challenges,” Marketing intelligence & planning, vol. 34, no. 7, pp. 964–976, 2016.
  7. D. E. Alexander, “Social media in disaster risk reduction and crisis management,” Science and engineering ethics, vol. 20, pp. 717–733, 2014.
  8. H. Gao, G. Barbier, and R. Goolsby, “Harnessing the crowdsourcing power of social media for disaster relief,” IEEE intelligent systems, vol. 26, no. 3, pp. 10–14, 2011.
  9. D.-A. Nguyen, T. Abdelzaher, S. Borbash, X.-H. Dang, R. Ganti, A. Singh, and M. Srivatsa, “On critical event observability using social networks: A disaster monitoring perspective,” in 2014 IEEE Military Communications Conference, pp. 1633–1638, IEEE, 2014.
  10. T. Vihalemm, M. Kiisel, and H. Harro-Loit, “Citizens’ response patterns to warning messages,” Journal of contingencies and crisis management, vol. 20, no. 1, pp. 13–25, 2012.
  11. N. L. Lê, J. Zhong, E. Negre, and M.-H. Abel, “Constraint-based recommender system for crisis management simulations,” 2023.
  12. Cham: Springer International Publishing, 2016.
  13. A. Monares, S. F. Ochoa, J. A. Pino, V. Herskovic, and A. Neyem, “Mobilemap: A collaborative application to support emergency situations in urban areas,” in 2009 13th International Conference on Computer Supported Cooperative Work in Design, pp. 432–437, IEEE, 2009.
  14. L. Elmhadhbi, M.-H. Karray, B. Archimède, J. N. Otte, and B. Smith, “Promes: An ontology-based messaging service for semantically interoperable information exchange during disaster response,” Journal of Contingencies and Crisis Management, vol. 28, no. 3, pp. 324–338, 2020.
  15. S. Chehade, N. Matta, J.-B. Pothin, and R. Cogranne, “Ontology-based approach for designing user interfaces: Application for rescue actors,” in Proceedings of the ISCRAM 2020 — 17th International Conference on Information Systems for Crisis Response and Management, Blacksburg, VA, USA, pp. 24–27, 2020.
  16. C. Hanachi, F. Charoy, and S. Stinckwich, “Collaborative technology for coordinating crisis management track report - ct2cm 2011,” in 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 303–304, 2011.
  17. A. Saroj and S. Pal, “Use of social media in crisis management: A survey,” International Journal of Disaster Risk Reduction, vol. 48, p. 101584, 2020.
  18. D. Havlik, J. Pielorz, and A. Widera, “Interaction with citizens experiments: from context-aware alerting to crowdtasking.,” in ISCRAM, 2016.
  19. L. Plotnick, S. R. Hiltz, J. A. Kushma, and A. H. Tapia, “Red tape: Attitudes and issues related to use of social media by us county-level emergency managers.,” in ISCRAM, 2015.
  20. S. Vieweg, A. L. Hughes, K. Starbird, and L. Palen, “Microblogging during two natural hazards events: what twitter may contribute to situational awareness,” in Proceedings of the SIGCHI conference on human factors in computing systems, pp. 1079–1088, 2010.
  21. P. Barr, “Staying connected. social media put to work when disaster strikes,” Modern healthcare, vol. 41, no. 36, pp. 33–33, 2011.
  22. P. Panagiotopoulos, J. Barnett, A. Z. Bigdeli, and S. Sams, “Social media in emergency management: Twitter as a tool for communicating risks to the public,” Technological Forecasting and Social Change, vol. 111, pp. 86–96, 2016.
  23. S. Han and F. Ciravegna, “Rumour detection on social media for crisis management.,” in ISCRAM, 2019.
  24. S. Li, Context-aware recommender system for system of information systems. PhD thesis, Université de Technologie de Compiègne, 2021.
  25. A. Vivacqua, A. C. Garcia, J. Canós, M. Comes, and V. Vieira, “Collaboration and decision making in crisis situations,” in Proceedings of the 19th ACM conference on computer supported cooperative work and social computing companion, pp. 503–508, 2016.
  26. I. King, J. Li, and K. T. Chan, “A brief survey of computational approaches in social computing,” in 2009 International Joint Conference on Neural Networks, pp. 1625–1632, IEEE, 2009.
  27. K. Starbird and L. Palen, ““voluntweeters” self-organizing by digital volunteers in times of crisis,” in Proceedings of the SIGCHI conference on human factors in computing systems, 2011.

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