利用社会媒体数据收集地理信息 (Geo-Information Harvesting from Social Media Data)

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

from arxiv, Accepted for publication IEEE Geoscience and Remote Sensing Magazine

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.

翻译：由于来自开放平台和社交媒体的非常规地理信息来源、大型图像和文本信息构成一个暂时的准密封、空间多视角流,但质量不明和多样。由于这些来源的地理信息与遥感数据的互补性,这些来源的地理信息提供了充满希望的视角,但因其数据特点,收获并非微不足道。在本篇文章中,我们讨论了该领域的关键方面,包括数据的提供、分析准备的数据编制和数据管理、从社会媒体短信和图像中提取地理信息,以及社会媒体和遥感数据的融合。我们随后展示了一些堪称楷模的地理应用。此外,我们还介绍了在地理信息采集和地理应用方面首次广泛讨论社会媒体数据的道德考虑因素。我们想以此努力激发好奇心,为打算探索地理应用社会媒体数据的研究人员奠定基础。我们鼓励社区通过分享其代码和数据而联合力量。

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