idw - Informationsdienst
Wissenschaft
In their recently published paper Emilio Zagheni and colleagues present a statistical framework to combine social media data with traditional survey data. They produce timely ‘nowcasts’ of migrant stocks by state in the United States.
“The goal of the paper was to develop methods to improve short-term migration forecasts using social media data“, says Monica Alexander, member of the research team and guest researcher at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany.
In particular, the researchers introduce a new statistical method for combining demographic data from social media sources with data from traditional demographic sources, such as a representative survey or census. Their paper was recently published in Population Research and Policy Review.
Data from social media has notable strengths, in that it is based on large sample sizes and essentially available in real time. But there is also a drawback since this data is in general not representative of the broader population. The research team took this into account in its statistical framework.
The researchers used data from Facebook’s Advertising Platform to build up a large database on timely information on migrants in the US. They collected these data themselves over a period of two years. In addition, they used data from the American Community Survey, a national-representative survey in the US.
“We show that the proposed model improves prediction of short-term trends when compared to viable alternatives“, say Emilio Zagheni, Director at MPIDR. Monica Alexander is convinced that their model has even more advantages: “We are particularly excited because we believe the general statistical framework we developed could be extended to include information from other sources, or to measure other population processes.“
More information
The researchers provide all their data and code to help other researchers explore and adapt the method for their own purposes on Github.
(https://github.com/MJAlexander/fb-migration-bayes).
About the MPIDR
The Max Planck Institute for Demographic Research (MPIDR) in Rostock investigates the structure and dynamics of populations. The Institute’s researchers explore issues of political relevance, such as demographic change, aging, fertility, and the redistribution of work over the life course, as well as digitization and the use of new data sources for the estimation of migration flows. The MPIDR is one of the largest demographic research bodies in Europe and is a worldwide leader in the study of populations. The Institute is part of the Max Planck Society, the internationally renowned German research organization.
http://www.demogr.mpg.de
Contact
Silvia Leek – MPIDR Press and Public Relations
PHONE +49 381 2081 – 143
E-MAIL presse@demogr.mpg.de
Emilio Zagheni
PHONE +49 381 2081-104
E-MAIL zagheni@demogr.mpg.de
Alexander, M., Polimis, K., Zagheni, E.: Combining Social Media and Survey Data to Nowcast Migrant Stocks in the United States. Popul Res Policy Rev (2020). DOI: 0.1007/s11113-020-09599-3
https://link.springer.com/article/10.1007/s11113-020-09599-3
https://www.demogr.mpg.de/en/news_events_6123/news_press_releases_4630/press/mig...
Migration
Max Planck Institute for Demographic Research (MPIDR)
Merkmale dieser Pressemitteilung:
Journalisten, jedermann
Gesellschaft
überregional
Wissenschaftliche Publikationen
Englisch
Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie.
Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie).
Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“.
Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet).
Haben Sie in einer Kategorie kein Kriterium ausgewählt, wird die gesamte Kategorie durchsucht (z.B. alle Sachgebiete oder alle Länder).