Quantifying international human mobility patterns using Facebook Network data.

ABSTRACT: Quantifying global international mobility patterns can improve migration governance. Despite decades of calls by the international community to improve international migration statistics, the availability of timely and disaggregated data about long-term and short-term migration at the global level is still very limited. In this study, we investigate the feasibility of using non-traditional data sources to fill existing gaps in migration statistics. To this end, we use anonymised and publicly available data provided by Facebook's advertising platform. Facebook's advertising platform classifies its users as "lived in country X" if they previously lived in country X, and now live in a different country. Drawing on statistics about Facebook Network users (Facebook, Instagram, Messenger, and th

SUBMITTER: Spyratos S 

PROVIDER: S-EPMC6812739 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature