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With the rapid development of Internet information technology, the advantages of social media in terms of speed, content, form, and effect of communication are becoming increasingly significant. In recent years, more and more researchers have paid attention to the special value and role of social media tools in disaster information emergency management. Weibo is the most widely used Chinese social media tool. To effectively mine and apply the emergency function of disaster situation microblogs, a disaster situation information discovery and collection system capable of online incremental identification and collection are constructed for massive and disordered disaster microblog text streams. First, based on the deep learning- trained word vector model and a large-scale corpus, an unsupervised short-text feature representation method of disaster situation Weibo information is developed. According to the experimental results of the feature combination test and the training set scale test, the SVM algorithm was selected for disaster microblog information classification, which realized effective identification of disaster situation micro-bloggings. Then, the temporal information similarity and geographic information similarity are used to improve the single text similarity algorithm, and a Chinese disaster event online real-time detection model is constructed. Furthermore, the disaster-affected areas can be achieved in real-time based on the detection results. By crawling and classifying the micro-bloggings from the disaster-affected areas, it is possible to realize the incremental identification and collection of online disaster situation Weibo information. Finally, the empirical analysis of disaster events such as the “Leshan Earthquake” shows that the real- time intelligent identification and collection system for disaster situation Weibo micro-bloggings developed in this paper can obtain large-scale and useful data for disaster emergency management, which proving that this system is effective and efficient.

Analizamos la literatura académica internacional centrada en los teléfonos móviles y las terapias psicosociales. Identificamos los artículos publicados entre 2000 y 2015 en las bases de datos disponibles en Internet; y ponemos en evidencia las escasas investigaciones con personas vulnerables. La literatura especializada en terapias psicosociales muestra interés en las utilidades de los teléfonos móviles en pacientes en general, con mayor producción desde la psicología y en menor medida desde el trabajo social. Destacan las investigaciones desarrolladas en los Estados Unidos y su escasa existencia en España, donde se discuten las competencias del trabajador social en este campo. Identificamos oportunidades y limitaciones en cuanto a la privacidad de los datos, al acceso a los teléfonos móviles y a su uso; para llegar a poblaciones aisladas o de escasos recursos o para facilitar el acceso a los servicios sociales y de salud. Concluimos con posibles orientaciones, hipótesis y objetivos en el diseño de nuevas investigaciones.