@inproceedings{e96c11865f7044d08bf840c404aa9884,
title = "Exploring the value of user-generated content for disaster response through a support vector machine-based assessment model",
abstract = "This study examined the value of User Generated Content (UGC) for disaster response utilizing social media. The value assessment of UGC was formulated as a classification problem, and appropriate classifiers developed for a set of features related to the specific characteristics of disaster response. Building on a comprehensive survey of the relevant literatures on evaluating the quality of information and UGC, we identified 15 features that influence the value of the UGC. This study used the support vector machine (SVM) method to create a new UGC classification model based on these 15 features. This model was then applied to UGC data about the 2014 Ludian earthquake in China to assess its performance. Our results related that the proposed analysis model functioned effectively to identify the value of UGC for disaster management. These findings shed light on the dissemination of disaster news in social media and have implications for utilizing user-generated content in disaster management to support government relief efforts.",
keywords = "Disaster response, Social media, Support vector machine (SVM), UGC",
author = "Hou, \{Yin Feng\} and Shan, \{Si Qing\}",
year = "2016",
language = "英语",
series = "Conference Proceedings of the 4th International Symposium on Project Management, ISPM 2016",
publisher = "Aussino Academic Publishing House",
pages = "551--558",
editor = "Cao, \{Xi Shen\} and Henry Zhang and Cheng, \{Chang Bo\}",
booktitle = "Conference Proceedings of the 4th International Symposium on Project Management, ISPM 2016",
note = "4th International Symposium on Project Management, ISPM 2016 ; Conference date: 09-07-2016 Through 10-07-2016",
}