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Crowdsourced social media data for disaster management: Lessons from the PetaJakarta.org project

机译：面向灾难管理的众包社交媒体数据：PetaJakarta.org项目的经验教训

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摘要

The application of crowdsourced social media data in flood mapping and other disaster management initiatives is a burgeoning field of research, but not one that is without challenges. In identifying these challenges and in making appropriate recommendations for future direction, it is vital that we learn from the past by taking a constructively critical appraisal of highly-praised projects in this field, which through real-world implementations have pioneered the use of crowdsourced geospatial data in modern disaster management. These real-world applications represent natural experiments, each with myriads of lessons that cannot be easily gained from computer-confined simulations. This paper reports on lessons learnt from a 3-year implementation of a highly-praised project- the PetaJakarta.org project. The lessons presented derive from the key success factors and the challenges associated with the PetaJakarta.org project. To contribute in addressing some of the identified challenges, desirable characteristics of future social media-based disaster mapping systems are discussed. It is envisaged that the lessons and insights shared in this study will prove invaluable within the broader context of designing socio-technical systems for crowdsourcing and harnessing disaster-related information.
机译：在洪水地图和其他灾害管理计划中应用众包社交媒体数据是一个新兴的研究领域，但并非没有挑战。在确定这些挑战并为未来的方向提出适当的建议时，至关重要的是，我们必须通过对本领域的高度赞扬的项目进行建设性的批判性评估来吸取过去的经验，该评估通过实际的实施已率先使用了众包地理空间现代灾难管理中的数据。这些真实的应用程序代表自然的实验，每个实验都有大量的经验教训，而这些经验教训很难从计算机限制的模拟中获得。本文报告了从高度赞扬的项目PetaJakarta.org项目的3年实施中获得的经验教训。所提供的课程来自关键的成功因素以及与PetaJakarta.org项目相关的挑战。为了应对某些已确定的挑战，讨论了未来基于社交媒体的灾难映射系统的理想特性。可以预料，在设计用于人群外包和利用灾害相关信息的社会技术系统的更广泛的背景下，本研究中分享的经验教训将是无价的。

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