Facebook Disaster Maps: Aggregate Insights for Crisis Response & Recovery

被引:90
作者
Maas, Paige [1 ]
机构
[1] Facebook, Core Data Sci Team, Menlo Pk, CA 94025 USA
来源
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING | 2019年
关键词
Mapping; Disaster Response;
D O I
10.1145/3292500.3340412
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
After a natural disaster or other crisis, humanitarian organizations need to know where affected people are located and what resources they need. While this information is difficult to capture quickly through conventional methods, aggregate usage patterns of social media apps like Facebook can help fill these information gaps. This talk will describe the data and methodology that power Facebook Disaster Maps. These maps utilize information about Facebook usage in areas impacted by natural hazards, producing insights into how the population is affected by and responding to the hazard. In addition to methodology details, including efforts taken to ensure the security and privacy of Facebook users, I'll also discuss how we worked with humanitarian partners to develop the maps, which are actively used in disaster response today. I'll give examples of insights generated from the maps and I'll also discuss some limitations of the current methodologies, challenges, and opportunities for improvement.
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收藏
页码:3173 / 3173
页数:1
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