论文标题

从社交媒体数据中收获地理信息

Geo-Information Harvesting from Social Media Data

论文作者

Zhu, Xiao Xiang, Wang, Yuanyuan, Kochupillai, Mrinalini, Werner, Martin, Häberle, Matthias, Hoffmann, Eike Jens, Taubenböck, Hannes, Tuia, Devis, Levering, Alex, Jacobs, Nathan, Kruspe, Anna, Abdulahhad, Karam

论文摘要

作为地理信息的非常规来源,来自开放平台和社交媒体的大量图像和短信形成了一个时间上无空的,无空间的多镜头流,但质量不明和多样化。由于其与遥感数据的互补性,这些来源的地理信息提供了有希望的观点,但是由于其数据特征,收获并不是微不足道的。在本文中,我们解决了该领域的关键方面,包括数据可用性,可以进行分析的数据准备和数据管理,从社交媒体文本消息和图像中提取地理信息,以及社交媒体的融合以及遥感数据。然后,我们展示一些模范地理应用。此外,我们在地理信息收获和地理应用的背景下对社交媒体数据的道德考虑进行了第一个广泛的讨论。通过这项努力,我们希望刺激好奇心,并为打算探索社交媒体数据进行地理应用的研究人员奠定基础。我们鼓励社区通过共享其代码和数据来携手。

As unconventional sources of geo-information, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multi-perspective stream, but with unknown and diverse quality. Due to its complementarity to remote sensing data, geo-information from these sources offers promising perspectives, but harvesting is not trivial due to its data characteristics. In this article, we address key aspects in the field, including data availability, analysis-ready data preparation and data management, geo-information extraction from social media text messages and images, and the fusion of social media and remote sensing data. We then showcase some exemplary geographic applications. In addition, we present the first extensive discussion of ethical considerations of social media data in the context of geo-information harvesting and geographic applications. With this effort, we wish to stimulate curiosity and lay the groundwork for researchers who intend to explore social media data for geo-applications. We encourage the community to join forces by sharing their code and data.

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