Situational awareness in social media: lessons learned using information entropy in flood risk management
| Autor: | Andrade, Sidgley Camargo De, Restrepo-Estrada, Camilo, Thiago Aparecido Gonçalves Da Costa, Ueyama, Jó, Delbem, Alexandre Cláudio Botazzo, Albuquerque, João Porto De |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| DOI: | 10.5281/zenodo.3783896 |
| Popis: | Increasing situational awareness using social media data is still a problem for the surveillance of disaster-related events due to the amount of data. In order to address this problem, a number of studies have been conducted on the basis of the Tobler’s first law of geography, in which social media messages nearest to events are more relevant than the more distant messages. However, these studies fail to take the explicit content of the messages in terms of quantitative measures into account. A quantitative measure is important to prioritize and rank social media messages using another criterion beyond the geographical distance. This paper conducts a case study in the city of São Paulo, Brazil, for assessing the relationship between the information entropy and the distance to flooded areas of rain- flood-related Twitter messages. The results provide evidence that the entropy measure of the tweets is not governed by the Tobler’s law of geography. Nonetheless, our findings do not challenge the Tobler’s law assumption, but put forward discussions in terms of the relevance of the social media’s content in relation to distance to the affected areas by disasters. {"references":["M. Imran, C. Castillo, F. Diaz, and S. Vieweg, \"Processing social media messages in mass emergency: a survey\", ACM Comput. Surv. 47 (4) (2015) 1–38.","S. Vieweg, A. L. Hughes, K. Starbird, and L. Palen. 2010. \"Microblogging during two natural hazards events: what twitter may contribute to situational awareness\". In Proc. of the SIGCHI Conference on Human Factors in Comput. Systems (CHI'10). ACM, New York, NY, USA, 1079-1088.","Albuquerque, J. P., Herfort, B., Brenning, A., & Zipf, A. (2015) A Geographic Approach for Combining Social Media and Authoritative Data towards Identifying Useful Information for Disaster Management. International Journal of Geographical Information Science, 29, 667-689. doi: 10.1080/13658816.2014.996567.","L. Spinsanti, F. Ostermann, \"Automated geographic context analysis for volunteered information\", Applied Ge- ography, (43), 2013, 36–44.","T. Sakaki, M. Okazaki, and Y. Matsuo. 2010. \"Earthquake shakes Twitter users: real-time event detection by social sensors\". In Proc. of the 19th Int. Conf. on World Wide Web ('10). ACM, New York, NY, USA, 851–860.","Gray, R. M. (1990). \"Entropy and Information Theory\". https://doi.org/10.1007/978-1-4757-3982-4","IBGE \"Censo Demográfico 2010\". Brazilian Institute of Geography and Statistics, Rio de Janeiro, 2010."]} |
| Databáze: | OpenAIRE |
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