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Leveraging Facebook's Advertising Platform to Monitor Stocks of Migrants

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  1. Katz, Lindsay & Chong, Michael & Alexander, Monica, 2023. "Measuring short-term mobility patterns in North America using Facebook Advertising data, with an application to adjusting Covid-19 mortality rates," SocArXiv bev4p, Center for Open Science.
  2. Liberini, Federica & Redoano, Michela & Russo, Antonio & Cuevas, Angel & Cuevas, Ruben, 2018. "Politics in the Facebook Era Evidence from the 2016 US Presidential Elections," The Warwick Economics Research Paper Series (TWERPS) 1181, University of Warwick, Department of Economics.
  3. Andreea Avramescu & Arkadiusz Wiśniowski, 2021. "Now-casting Romanian migration into the United Kingdom by using Google Search engine data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(40), pages 1219-1254.
  4. Jurić, Tado, 2021. "Google Trends as a Method to Predict New COVID-19 Cases and Socio-Psychological Consequences of the Pandemic," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(forthcomi).
  5. Monica Alexander & Kivan Polimis & Emilio Zagheni, 2022. "Combining Social Media and Survey Data to Nowcast Migrant Stocks in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(1), pages 1-28, February.
  6. Jurić, Tado, 2022. "Forecasting Migration and Integration Trends Using Digital Demography – A Case Study of Emigration Flows from Croatia to Austria and Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(1), pages 125-152.
  7. Raftery, Adrian E. & Ševčíková, Hana, 2023. "Probabilistic population forecasting: Short to very long-term," International Journal of Forecasting, Elsevier, vol. 39(1), pages 73-97.
  8. Spyridon Spyratos & Michele Vespe & Fabrizio Natale & Ingmar Weber & Emilio Zagheni & Marzia Rango, 2019. "Quantifying international human mobility patterns using Facebook Network data," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
  9. Mamertino, Mariano & Sinclair, Tara M., 2019. "Migration and online job search: A gravity model approach," Economics Letters, Elsevier, vol. 181(C), pages 51-53.
  10. Luca Maria Pesando & Valentina Rotondi & Manuela Stranges & Ridhi Kashyap & Francesco C. Billari, 2021. "The Internetization of International Migration," Population and Development Review, The Population Council, Inc., vol. 47(1), pages 79-111, March.
  11. Alexander, Monica & Zagheni, Emilio & Polimis, Kivan, 2019. "The impact of Hurricane Maria on out-migration from Puerto Rico: Evidence from Facebook data," SocArXiv 39s6c, Center for Open Science.
  12. Grow, André & Perrotta, Daniela & Del Fava, Emanuele & Cimentada, Jorge & Rampazzo, Francesco & Gil-Clavel, Sofia & Zagheni, Emilio, 2020. "Addressing Public Health Emergencies via Facebook Surveys: Advantages, Challenges, and Practical Considerations," SocArXiv ez9pb, Center for Open Science.
  13. Nina Cesare & Hedwig Lee & Tyler McCormick & Emma Spiro & Emilio Zagheni, 2018. "Promises and Pitfalls of Using Digital Traces for Demographic Research," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1979-1999, October.
  14. Jurić Tado, 2022. "Forecasting Migration and Integration Trends Using Digital Demography – A Case Study of Emigration Flows from Croatia to Austria and Germany," Comparative Southeast European Studies, De Gruyter, vol. 70(1), pages 125-152, March.
  15. Fatehkia, Masoomali & Kashyap, Ridhi & Weber, Ingmar, 2018. "Using Facebook Ad Data to Track the Global Digital Gender Gap," SocArXiv rkvb3, Center for Open Science.
  16. Carolina Coimbra Vieira & Sophie Lohmann & Emilio Zagheni, 2023. "The value of cultural similarity for predicting migration: evidence from digital trace data," MPIDR Working Papers WP-2023-009, Max Planck Institute for Demographic Research, Rostock, Germany.
  17. Konstantin Boss & Andre Groeger & Tobias Heidland & Finja Krueger & Conghan Zheng, 2023. "Forecasting Bilateral Refugee Flows with High-dimensional Data and Machine Learning Techniques," Working Papers 1387, Barcelona School of Economics.
  18. Selin Köksal & Luca Maria Pesando & Valentina Rotondi & Ebru Şanlıtürk, 2022. "Harnessing the Potential of Google Searches for Understanding Dynamics of Intimate Partner Violence Before and After the COVID-19 Outbreak," European Journal of Population, Springer;European Association for Population Studies, vol. 38(3), pages 517-545, August.
  19. Douglas R. Leasure & Ridhi Kashyap & Francesco Rampazzo & Claire A. Dooley & Benjamin Elbers & Maksym Bondarenko & Mark Verhagen & Arun Frey & Jiani Yan & Evelina T. Akimova & Masoomali Fatehkia & Rob, 2023. "Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data," Population and Development Review, The Population Council, Inc., vol. 49(2), pages 231-254, June.
  20. Bert Leysen & Pieter-Paul Verhaeghe, 2023. "Searching for migration: estimating Japanese migration to Europe with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4603-4631, October.
  21. Yago Martín & Zhenlong Li & Yue Ge & Xiao Huang, 2021. "Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level," Social Sciences, MDPI, vol. 10(6), pages 1-20, June.
  22. André Grow & Daniela Perrotta & Emanuele Del Fava & Jorge Cimentada & Francesco Rampazzo & Sofia Gil‐Clavel & Emilio Zagheni & René D. Flores & Ilana Ventura & Ingmar Weber, 2022. "Is Facebook's advertising data accurate enough for use in social science research? Insights from a cross‐national online survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 343-363, December.
  23. Jurić, Tado, 2022. "Predicting refugee flows from Ukraine with an approach to Big (Crisis) Data: a new opportunity for refugee and humanitarian studies," EconStor Preprints 251215, ZBW - Leibniz Information Centre for Economics.
  24. Silvia Loi & Daniela Vono de Vilhena, 2020. "Exclusion through statistical invisibility. An exploration on what can be known through publicly available datasets on irregular migration and the health status of this population in Germany," MPIDR Working Papers WP-2020-009, Max Planck Institute for Demographic Research, Rostock, Germany.
  25. Zhenjie Liu & Jun Li & Haonan Chen & Lizhe Wang & Jun Yang & Antonio Plaza, 2024. "Prediction of changes in war-induced population and CO2 emissions in Ukraine using social media," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
  26. Lisa Singh & Carole Roan Gresenz, 2022. "Social Media Data for Firearms Research: Promise and Perils," The ANNALS of the American Academy of Political and Social Science, , vol. 704(1), pages 267-291, November.
  27. Ridhi Kashyap & Masoomali Fatehkia & Reham Al Tamime & Ingmar Weber, 2020. "Monitoring global digital gender inequality using the online populations of Facebook and Google," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(27), pages 779-816.
  28. Fatehkia, Masoomali & Kashyap, Ridhi & Weber, Ingmar, 2018. "Using Facebook ad data to track the global digital gender gap," World Development, Elsevier, vol. 107(C), pages 189-209.
  29. Bruno Emmanuel Ongo Nkoa & Jacques Simon Song & Blaise Ondoua Beyene & Georges Ngnouwal Eloundou, 2023. "Does social media drive remittances in Africa?," African Development Review, African Development Bank, vol. 35(4), pages 429-443, December.
  30. André Grow & Daniela Perrotta & Emanuele Del Fava & Jorge Cimentada & Francesco Rampazzo & B. Sofia Gil-Clavel & Emilio Zagheni & René D. Flores & Ilana Ventura & Ingmar G. Weber, 2021. "How reliable is Facebook’s advertising data for use in social science research? Insights from a cross-national online survey," MPIDR Working Papers WP-2021-006, Max Planck Institute for Demographic Research, Rostock, Germany.
  31. Mattia Mazzoli & Boris Diechtiareff & Antònia Tugores & Willian Wives & Natalia Adler & Pere Colet & José J Ramasco, 2020. "Migrant mobility flows characterized with digital data," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-20, March.
  32. Daniela Perrotta & Sarah C. Johnson & Tom Theile & André Grow & Helga A. G. de Valk & Emilio Zagheni, 2022. "Openness to migrate internationally for a job: evidence from LinkedIn data in Europe," MPIDR Working Papers WP-2022-007, Max Planck Institute for Demographic Research, Rostock, Germany.
  33. B. Sofia Gil-Clavel & Emilio Zagheni & Valeria Bordone, 2020. "Close social networks among older adults: the online and offline perspectives," MPIDR Working Papers WP-2020-035, Max Planck Institute for Demographic Research, Rostock, Germany.
  34. Nathan Wycoff & Lisa O. Singh & Ali Arab & Katharine M. Donato & Helge Marahrens, 2024. "The digital trail of Ukraine’s 2022 refugee exodus," Journal of Computational Social Science, Springer, vol. 7(2), pages 2147-2193, October.
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