论文标题
Desaparecidxs：使用Twitter来表征失踪儿童的人群
Desaparecidxs: characterizing the population of missing children using Twitter
论文作者
论文摘要
失踪儿童，即儿童向相关权威报告为“消失”，构成了一个重要但经常被忽视的人口。从研究的角度来看，失踪的儿童构成了很难到达的人群。这是全球南部地区缺乏强大或集中数据收集系统的特殊问题。在这项研究中，我们分析了危地马拉失踪儿童人群的组成，危地马拉是一个高度暴力的国家。我们将2018 - 2020年期间危地马拉国家警察的正式汇总数据与来自Alerta Alba-Keneth的官方Twitter帐户中的失踪儿童的实时个人数据进行了构图，这是一个政府警告系统，该系统负责传播有关失踪儿童的信息。使用Twitter数据，我们表征了危地马拉失踪儿童的人口，按年龄，性别和失踪地点。我们的结果表明，妇女更有可能被报道为失踪，尤其是那些年龄在13-17岁的年龄。根据失踪人员，暴力和人口贩运之间的已知联系，我们讨论了这些发现。最后，该研究强调了网络数据通过提高我们对此和类似难以到达的人群的理解来为社会做出贡献的潜力。
Missing children, i.e., children reported to a relevant authority as having "disappeared," constitute an important but often overlooked population. From a research perspective, missing children constitute a hard-to-reach population about which little is known. This is a particular problem in regions of the Global South that lack robust or centralized data collection systems. In this study, we analyze the composition of the population of missing children in Guatemala, a country with high levels of violence. We contrast the official aggregated-level data from the Guatemalan National Police during the 2018-2020 period with real-time individual-level data on missing children from the official Twitter account of the Alerta Alba-Keneth, a governmental warning system tasked with disseminating information about missing children. Using the Twitter data, we characterize the population of missing children in Guatemala by single-year age, sex, and place of disappearance. Our results show that women are more likely to be reported as missing, particularly those aged 13-17. We discuss the findings in light of the known links between missing people, violence, and human trafficking. Finally, the study highlights the potential of web data to contribute to society by improving our understanding of this and similar hard-to-reach populations.
