2016/01/01 by Moumita Basu, Somprakash Bandyopadhyay, Saptarshi Ghosh · 1 citation
Social Sciences · Engineering · #Public Relations and Crisis Communication #Disaster Management and Resilience #Misinformation and Its Impacts #Situation awareness #Crowdsourcing #Social media #Emergency management #Situational ethics #Situation analysis #Decision support system #Field (mathematics) #Computer science #Smart phone #Internet privacy #Knowledge management #Data science #Business #World Wide Web #Engineering #Marketing #Political science #Artificial intelligence
paper · pdf · doi:10.1016/j.proeng.2016.08.151
openalex publication_date 2016/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
In today's world, online social media has established itself as one of the most important information carriers, and that applies in the field of disaster management as well. However, posts in online social media like Twitter and Facebook are mostly unstructured, and it is extremely difficult to extract meaningful information from such unstructured posts. Therefore, disaster management authorities face problems in using these posts for proper situation analysis and decision-making. To alleviate this problem, we propose a decision support framework that collects situational information through interactive crowd-sourcing using SMS from the “crowd” present at the disaster site, and summarizes such responses to have situational awareness and appropriate decision-making regarding damage or need assessment. We evaluated our proposed system using 3000 real-time interactive responses from a disaster-prone coastal area of India (named, the Sunderbans). Since the use of smart-phone in rural India is significantly low, SMS from the “crowd” were used to form the core information repository for post-disaster situation analysis.