CitizenHelper: A Streaming Analytics System to Mine Citizen and Web Data for Humanitarian Organizations
CitizenHelper: A Streaming Analytics System to Mine Citizen and Web Data for Humanitarian Organizations
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CitizenHelper：为人道主义组织挖掘公民和网络数据的流分析系统
DOI：
10.1609/icwsm.v11i1.14863
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发表时间：
2017
影响因子：
2
通讯作者：
Hemant Purohit
中科院分区：
文献类型：
--
作者：
P. Karuna;Mohammad Rana;Hemant Purohit
通过公民感知在社会媒体上获得的大量信息，加上博客和新闻等多种网络资源，为组织利用这些数据改进其工作实践提供了前所未有的机会。我们将演示一个新颖的、可扩展的、交互式的流分析系统，它带有一个协作的可视化仪表板。该系统挖掘来自社交和网络平台的异构信息流，沿着信息源人口统计、时间、地点和内容摘要的维度分析人道主义领域的现实世界事件。将介绍基于性别的暴力和全球流离失所的具体用例，以展示不同数据源的对比分析，不像现有的单一数据源的社会计算系统，在人道主义领域。
Vast information available on social media through citizen sensing, complemented by diverse Web sources such as blogs, and news present an unprecedented opportunity for organizations to improve their work practices using such data. We will demo a novel, scalable and interactive streaming analytics system with a collaborative visual dashboard. The proposed system mines heterogeneous information streams from social and web platforms for analyzing real world events in humanitarian domain, along dimensions of information source demographics, time, location, and content summaries. Specific use-cases of gender-based violence and global displacements will be presented to demonstrate contrasting analyses of diverse data sources, unlike existing social computing systems with single data source, in humanitarian domain.