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Opportunities and risks of disaster data from social media: a systematic review of incident information

机译:社交媒体的灾难数据的机遇和风险:对事件信息的系统审查

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摘要

Compiling and disseminating information about incidents and disasters are key to disaster management and relief. But due to inherent limitations of the acquisition process, the required information is often incomplete or missing altogether. To fill these gaps, citizen observations spread through social media are widely considered to be a promising source of relevant information, and many studies propose new methods to tap this resource. Yet, the overarching question of whether and under which circumstances social media can supply relevant information (both qualitatively and quantitatively) still remains unanswered. To shed some light on this question, we review 37?disaster and incident databases covering 27?incident types, compile a unified overview of the contained data and their collection processes, and identify the missing or incomplete information. The resulting data collection reveals six major use cases for social media analysis in incident data collection:(1)?impact assessment and verification of model predictions,(2)?narrative generation,(3)?recruiting citizen volunteers,(4)?supporting weakly institutionalized areas,(5)?narrowing surveillance areas, and(6)?reporting triggers for periodical surveillance.Furthermore, we discuss the benefits and shortcomings of using social media data for closing information gaps related to incidents and disasters.
机译:编制和传播有关事故和灾害的信息是灾害管理和救济的关键。但由于采集过程的固有局限性,所需信息通常不完整或缺少。为了填补这些差距,通过社交媒体传播的公民观察被广泛认为是有前途的相关信息来源,许多研究提出了新方法来利用此资源。然而,社交媒体是否可以提供相关信息(定性和定量)仍然未答复的总体问题。在这个问题上阐明一些灯,我们审查了37?灾难和事件数据库覆盖27?事件类型,编译包含的数据及其收集过程的统一概览,并识别丢失或不完整的信息。由此产生的数据收集揭示了事件数据收集中的社交媒体分析的六个主要用例:(1)?模型预测的影响评估和验证,(2)?叙述生成,(3)?招聘公民志愿者,(4)?支持弱制度化的地区(5)?缩小监测区域,(6)

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