利用社交媒体广告数据来估计一段时间内的移民趋势

M. Alexander
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引用次数: 1

摘要

了解移民模式及其随时间的变化对了解更广泛的人口趋势、有效地设计政策和分配资源具有重要意义。但是,往往缺乏关于移徙运动的数据,即使有数据也不能及时编制。社交媒体数据为提供最新的人口统计数据和补充更传统的数据来源提供了新的机会。例如,Facebook可以被认为是一个定期更新的大型数字普查。然而,它的用户并不代表潜在的人群,因此使用数据而不进行适当的调整将导致有偏见的结果。本章讨论使用社交媒体广告数据来估计随时间的迁移。提出了一个将传统数据源与社交媒体数据相结合的统计框架,该框架强调了三个主要组成部分的重要性:调整社交媒体数据中的非代表性;纳入来自可靠人口统计数据的历史信息;并考虑每个数据源中的不同错误。该框架通过一个示例来说明,该示例使用facebook 广告平台的数据来估计北美的移民存量。
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Using social media advertising data to estimate migration trends over time
Understanding migration patterns and how they change over time has important implications for understanding broader population trends, effectively designing policy and allocating resources. However, data on migration movements are often lacking, and those that do exist are not produced in a timely manner. Social media data offer new opportunities to provide more up-to-date demographic estimates and to complement more-traditional data sources. Facebook, for example, can be thought of as a large digital census that is regularly updated. However, its users are not representative of the underlying population, thus using the data without appropriate adjustments would lead to biased results. This chapter discusses the use of social media advertising data to estimate migration over time. A statistical framework for combining traditional data sources and the social media data is presented, which emphasizes the importance of three main components: adjusting for non-representativeness in the social media data; incorporating historical information from reliable demographic data; and accounting for different errors in each data source. The framework is illustrated through an example that uses data from Facebook’s advertising platform to estimate migrant stocks in North America.
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