Crowdsourcing for collaborative crisis communication: a systematic review
Resumo
Efficient crisis response and support during emergency scenarios rely on collaborative communication channels. Effective communication between operational centers, civilian responders, and public institutions is vital. Crowdsourcing fosters communication and collaboration among a diverse public. The primary objective is to explore the state-of-the-art in crowdsourcing for collaborative crisis communication guided by a systematic literature review. The study selected 20 relevant papers published in the last decade. The findings highlight solutions to facilitate rapid emergency responses, promote seamless coordination between stakeholders and the general public, and ensure data credibility through a rigorous validation process.
Palavras-chave:
Crowdsourcing, Collaboration, Crisis Communication
Referências
Benali, M. and Ghomari, A. R. (2017). Towards a crowdsourcing-based approach to enhance decision making in collaborative crisis management. Proceedings of the International ISCRAM Conference.
Benali, M., Ghomari, A. R., and Zemmouchi-Ghomari, L. (2018). Crowdsourced collaborative decision making in crisis management: Application to desert locust survey and control. In Amine, A., Mouhoub, M., Ait Mohamed, O., and Djebbar, B., editors, Computational Intelligence and Its Applications, pages 533–545, Cham. Springer International Publishing.
Brown, A., Franken, P., Bonner, S., Dolezal, N., and Moross, J. (2016). Safecast: successful citizen-science for radiation measurement and communication after fukushima. Journal of Radiological Protection, 36(2):S82.
Calderon, A., Hinds, J., and Johnson, P. (2014). Intcris: A tool for enhanced communication and collective decision-making during crises.
Camara, J. H., Vegi, L. F., Pereira, R. O., Geocze, Z. A., Lisboa-Filho, J., and de Souza, W. D. (2017). Clickonmap: a platform for development of volunteered geographic information systems. In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6. IEEE.
CRED (2022). Disasters in numbers. This document is available at: [link] Accessed on 18 of August of 2023;.
Cruz, A., Ospina Gomez, S., and Feijo Garca, P. G. (2019). Galileo: A georeferenced system proposed for emergency services’ population control. 23(1).
Dastjerdi, A. V., Sharifi, M., and Buyya, R. (2015). On application of ontology and consensus theory to human-centric iot: An emergency management case study. In 2015 IEEE International Conference on Data Science and Data Intensive Systems, pages 636–643. IEEE.
Dixon, B. and Johns, R. (2019). Vision for a holistic smart city-hsc: Integrating resiliency framework via crowdsourced community resiliency information system (cris). In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities, pages 1–4.
El Abdallaoui, H. E. A., Mohamed, S., et al. (2016). Finding a lost child using a crowdsourcing framework. In 2016 4th International Conference on Control Engineering and Information Technology (CEIT), pages 1–6. IEEE.
Eldein, A. I. E. S., Ammar, H. H., and Dzielski, D. G. (2017). Enterprise architecture of mobile healthcare for large crowd events. In 2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA), pages 1–6. IEEE.
Farber, J., Myers, T., Trevathan, J., Atkinson, I., and Andersen, T. (2012). Riskr: A low-technological web2. 0 disaster service to monitor and share information. In 2012 15th International Conference on Network-Based Information Systems, pages 311–318. IEEE.
Freitas, D. P., Borges, M. R., and Carvalho, P. V. R. (2017). A framework for dealing collaboratively with interactions from social media in emergency situations. In 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), pages 215–220. IEEE.
Fulco, F., Inoguchi, M., and Mikami, T. (2018). Cyber-physical disaster drill: Preliminary results and social challenges of the first attempts to unify human, ict and ai in disaster response. In 2018 IEEE International Conference on Big Data (Big Data), pages 3495–3497. IEEE.
Hasse, D. and De Rolt, C. R. (2017). Collega semantic middleware for collaborative assistance in mobile social networks. In 2017 AEIT International Annual Conference, pages 1–6. IEEE.
Howe, J. et al. (2006). The rise of crowdsourcing. Wired magazine, 14(6):1–4.
Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004):1–26.
Kuehn, A., Kaschewsky, M., Kappeler, A., Spichiger, A., and Riedl, R. (2011). Interoperability and information brokers in public safety: an approach toward seamless emergency communications. Journal of theoretical and applied electronic commerce research, 6(1):43–60.
Ludwig, T., Kotthaus, C., Reuter, C., Van Dongen, S., and Pipek, V. (2016). Situated crowdsourcing during disasters: Managing the tasks of spontaneous volunteers through public displays. International Journal of Human-Computer Studies, 102:103–121.
Middelhoff, M., Widera, A., van den Berg, R. P., Hellingrath, B., Auferbauer, D., Havlik, D., and Pielorz, J. (2016). Crowdsourcing and crowdtasking in crisis management: Lessons learned from a field experiment simulating a flooding in the city of the hague. In 2016 3rd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), pages 1–8. IEEE.
Norris, W., Voida, A., and Voida, S. (2022). People talk in stories. responders talk in data: A framework for temporal sensemaking in time-and safety-critical work. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1):1–23.
Pezzica, C., Valerio, C., and Bleil De Souza, C. (2019). Rapid configurational analysis using osm data: Towards the use of space syntax to orient post-disaster decision making.
Quarantelli, E. L. and Dynes, R. R. (1977). Response to social crisis and disaster. Annual Review of Sociology, 3:23–49.
Samir, E., Azab, M., and Jung, Y. (2019). Blockchain guided trustworthy interactions for distributed disaster management. In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pages 0241–0245. IEEE.
van den Homberg, M. and Neef, M. (2015). Towards novel community-based collaborative disaster management approaches in the new information environment: an ngo perspective. Planet@ Risk, 3(1).
Zhang, Y., Zong, R., Kou, Z., Shang, L., and Wang, D. (2022). On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach. Knowledge-Based Systems, 239:107984.
Benali, M., Ghomari, A. R., and Zemmouchi-Ghomari, L. (2018). Crowdsourced collaborative decision making in crisis management: Application to desert locust survey and control. In Amine, A., Mouhoub, M., Ait Mohamed, O., and Djebbar, B., editors, Computational Intelligence and Its Applications, pages 533–545, Cham. Springer International Publishing.
Brown, A., Franken, P., Bonner, S., Dolezal, N., and Moross, J. (2016). Safecast: successful citizen-science for radiation measurement and communication after fukushima. Journal of Radiological Protection, 36(2):S82.
Calderon, A., Hinds, J., and Johnson, P. (2014). Intcris: A tool for enhanced communication and collective decision-making during crises.
Camara, J. H., Vegi, L. F., Pereira, R. O., Geocze, Z. A., Lisboa-Filho, J., and de Souza, W. D. (2017). Clickonmap: a platform for development of volunteered geographic information systems. In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6. IEEE.
CRED (2022). Disasters in numbers. This document is available at: [link] Accessed on 18 of August of 2023;.
Cruz, A., Ospina Gomez, S., and Feijo Garca, P. G. (2019). Galileo: A georeferenced system proposed for emergency services’ population control. 23(1).
Dastjerdi, A. V., Sharifi, M., and Buyya, R. (2015). On application of ontology and consensus theory to human-centric iot: An emergency management case study. In 2015 IEEE International Conference on Data Science and Data Intensive Systems, pages 636–643. IEEE.
Dixon, B. and Johns, R. (2019). Vision for a holistic smart city-hsc: Integrating resiliency framework via crowdsourced community resiliency information system (cris). In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities, pages 1–4.
El Abdallaoui, H. E. A., Mohamed, S., et al. (2016). Finding a lost child using a crowdsourcing framework. In 2016 4th International Conference on Control Engineering and Information Technology (CEIT), pages 1–6. IEEE.
Eldein, A. I. E. S., Ammar, H. H., and Dzielski, D. G. (2017). Enterprise architecture of mobile healthcare for large crowd events. In 2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA), pages 1–6. IEEE.
Farber, J., Myers, T., Trevathan, J., Atkinson, I., and Andersen, T. (2012). Riskr: A low-technological web2. 0 disaster service to monitor and share information. In 2012 15th International Conference on Network-Based Information Systems, pages 311–318. IEEE.
Freitas, D. P., Borges, M. R., and Carvalho, P. V. R. (2017). A framework for dealing collaboratively with interactions from social media in emergency situations. In 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), pages 215–220. IEEE.
Fulco, F., Inoguchi, M., and Mikami, T. (2018). Cyber-physical disaster drill: Preliminary results and social challenges of the first attempts to unify human, ict and ai in disaster response. In 2018 IEEE International Conference on Big Data (Big Data), pages 3495–3497. IEEE.
Hasse, D. and De Rolt, C. R. (2017). Collega semantic middleware for collaborative assistance in mobile social networks. In 2017 AEIT International Annual Conference, pages 1–6. IEEE.
Howe, J. et al. (2006). The rise of crowdsourcing. Wired magazine, 14(6):1–4.
Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004):1–26.
Kuehn, A., Kaschewsky, M., Kappeler, A., Spichiger, A., and Riedl, R. (2011). Interoperability and information brokers in public safety: an approach toward seamless emergency communications. Journal of theoretical and applied electronic commerce research, 6(1):43–60.
Ludwig, T., Kotthaus, C., Reuter, C., Van Dongen, S., and Pipek, V. (2016). Situated crowdsourcing during disasters: Managing the tasks of spontaneous volunteers through public displays. International Journal of Human-Computer Studies, 102:103–121.
Middelhoff, M., Widera, A., van den Berg, R. P., Hellingrath, B., Auferbauer, D., Havlik, D., and Pielorz, J. (2016). Crowdsourcing and crowdtasking in crisis management: Lessons learned from a field experiment simulating a flooding in the city of the hague. In 2016 3rd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), pages 1–8. IEEE.
Norris, W., Voida, A., and Voida, S. (2022). People talk in stories. responders talk in data: A framework for temporal sensemaking in time-and safety-critical work. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1):1–23.
Pezzica, C., Valerio, C., and Bleil De Souza, C. (2019). Rapid configurational analysis using osm data: Towards the use of space syntax to orient post-disaster decision making.
Quarantelli, E. L. and Dynes, R. R. (1977). Response to social crisis and disaster. Annual Review of Sociology, 3:23–49.
Samir, E., Azab, M., and Jung, Y. (2019). Blockchain guided trustworthy interactions for distributed disaster management. In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pages 0241–0245. IEEE.
van den Homberg, M. and Neef, M. (2015). Towards novel community-based collaborative disaster management approaches in the new information environment: an ngo perspective. Planet@ Risk, 3(1).
Zhang, Y., Zong, R., Kou, Z., Shang, L., and Wang, D. (2022). On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach. Knowledge-Based Systems, 239:107984.
Publicado
29/04/2024
Como Citar
PESTANA, Maria Clara; RIBEIRO, Ailton; VIEIRA, Vaninha.
Crowdsourcing for collaborative crisis communication: a systematic review. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 19. , 2024, Salvador/BA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 71-84.
ISSN 2326-2842.
DOI: https://doi.org/10.5753/sbsc.2024.237802.
