Leveraging Facebook's Advertising Platform to Monitor Stocks of Migrants

GIVEN THE IMPORTANCE of demographic data for monitoring development, the lack of appropriate sources and indicators for measuring progress toward the achievement of targets—like the United Nations’ “2030 Agenda for Sustainable Development”—is a significant cause of uncertainty. As part of a larger effort to tackle the issue, in 2014 the United Nations asked an independent expert advisory group to make recommendations to bring about a data revolution in sustainable development. Data innovation, like new digital traces from a variety of technologies, is seen as a significant opportunity to inform policy evaluation and to improve estimates and projections. In this article, we contribute to the development of tools and methods that leverage new data sources for demographic research. We present an innovative approach to estimate stocks of migrants using a previously untapped data source: Facebook’s advertising platform. This freely available source allows advertisers and researchers to query information about socio-demographic characteristics of Facebook users, aggregated at various levels of geographic granularity. We have three main goals: i) to present a new data source that is relevant for demographers; ii) to discuss how demographers can avoid some of the problems related to the analysis of nonrepresentative Web and social media data; and iii) to lay the foundations on which demographers and data scientists can build in the future. Our focus is on migration, but some of the broader issues that we address, like the need for small-area, timely, and disaggregated indicators, are key for other disciplines as well. In economics, for instance, quantities like the gross domestic product (GDP) are determined with a lag, and final estimates are produced only after a series of revisions. The need for timely estimates has led to the development of an area of research often referred to as nowcasting, or prediction of the present (Giannone, Reichlin, and

[1]  Andrei Rogers,et al.  Imposing Age and Spatial Structures on Inadequate Migration-Flow Datasets , 2003, The Professional Geographer.

[2]  David H. Small,et al.  Nowcasting: the real time informational content of macroeconomic data releases , 2008 .

[3]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[4]  H. Varian,et al.  Predicting the Present with Google Trends , 2009 .

[5]  R. Azarian,et al.  Social Ties , 2010 .

[6]  J. de Beer,et al.  Overcoming the Problems of Inconsistent International Migration data: A New Method Applied to Flows in Europe , 2010, European journal of population = Revue europeenne de demographie.

[7]  地理学 United States Census Bureau , 2011 .

[8]  H. Varian,et al.  Predicting the Present with Google Trends , 2012 .

[9]  U. S. bstate Studying InterNational Mobility through IP Geolocation , 2012 .

[10]  Ingmar Weber,et al.  You are where you e-mail: using e-mail data to estimate international migration rates , 2012, WebSci '12.

[11]  Ingmar Weber,et al.  Studying inter-national mobility through IP geolocation , 2013, WSDM.

[12]  Jakub Bijak,et al.  Integrated Modeling of European Migration , 2013 .

[13]  D. Lazer,et al.  The Parable of Google Flu: Traps in Big Data Analysis , 2014, Science.

[14]  Dirk Helbing,et al.  Migration of Professionals to the U.S. - Evidence from LinkedIn Data , 2014, SocInfo.

[15]  Venkata Rama Kiran Garimella,et al.  Inferring international and internal migration patterns from Twitter data , 2014, WWW.

[16]  G. Abel,et al.  Quantifying Global International Migration Flows , 2014, Science.

[17]  Carlo Ratti,et al.  Geo-located Twitter as proxy for global mobility patterns , 2013, Cartography and geographic information science.

[18]  Ingmar Weber,et al.  Demographic research with non-representative internet data , 2015 .

[19]  David M. Rothschild,et al.  Forecasting elections with non-representative polls , 2015 .

[20]  James Raymer,et al.  International migration under the microscope , 2016, Science.

[21]  J. Forster,et al.  Integrated modelling of age and sex patterns of European migration , 2016, Journal of the Royal Statistical Society. Series A,.

[22]  Lada A. Adamic,et al.  The social ties of immigrant communities in the United States , 2016, WebSci.