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Promises and Pitfalls of Using Digital Traces for Demographic Research

Citations

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Cited by:

  1. 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.
  2. Rachel S. Franklin & Jacques Poot, 2021. "Guest Editorial: Spatial demography in regional science," Journal of Geographical Systems, Springer, vol. 23(2), pages 139-141, April.
  3. 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.
  4. 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.
  5. Daniel Muise & Nilam Ram & Thomas Robinson & Byron Reeves, 2023. "Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data," Papers 2310.00197, arXiv.org.
  6. 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.
  7. Sergey Smetanin, 2022. "Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki," Mathematics, MDPI, vol. 10(16), pages 1-38, August.
  8. Jack DeWaard & Janna Johnson & Stephan Whitaker, 2019. "Internal migration in the United States: A comprehensive comparative assessment of the Consumer Credit Panel," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(33), pages 953-1006.
  9. Alex Luscombe & Kevin Dick & Kevin Walby, 2022. "Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1023-1044, June.
  10. 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.
  11. Bacolod, Marigee & Blum, Bernardo S. & Rangel, Marcos A. & Strange, William C., 2023. "Learners in cities: Agglomeration and the spatial division of cognition," Regional Science and Urban Economics, Elsevier, vol. 98(C).
  12. 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.
  13. Bertoli, Simone & Ozden, Caglar & Packard, Michael, 2021. "Segregation and internal mobility of Syrian refugees in Turkey: Evidence from mobile phone data," Journal of Development Economics, Elsevier, vol. 152(C).
  14. Colasurdo, Andrea & Omenti, Riccardo, 2024. "Using Online Genealogical Data for Demographic Research: An Empirical Examination of the FamiLinx Database," SocArXiv 62yxm, Center for Open Science.
  15. 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.
  16. Dennis M. Feehan & Curtiss Cobb, 2019. "Using an Online Sample to Estimate the Size of an Offline Population," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2377-2392, December.
  17. Francesco C. Billari, 2022. "Demography: Fast and Slow," Population and Development Review, The Population Council, Inc., vol. 48(1), pages 9-30, March.
  18. Andrea Colasurdo & Riccardo Omenti, 2024. "Using online genealogical data for demographic research: An empirical examination of the FamiLinx database," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 51(41), pages 1299-1350.
  19. Lawrence M Berger & Giulia Ferrari & Marion Leturcq & Lidia Panico & Anne Solaz, 2021. "COVID-19 lockdowns and demographically-relevant Google Trends: A cross-national analysis," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-28, March.
  20. Tania Varona & Claudia Masferrer & Victoria Prieto Rosas & Martín Pedemonte, 2024. "Which definition of migration better fits Facebook ‘expats’? A response using Mexican census data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(39), pages 1171-1184.
  21. 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).
  22. Joshua Wilde & Wei Chen & Sophie Lohmann & Jasmin Abdel Ghany, 2024. "Digital Trace Data and Demographic Forecasting: How Well Did Google Predict the US COVID‐19 Baby Bust?," Population and Development Review, The Population Council, Inc., vol. 50(S1), pages 421-446, July.
  23. Corey S. Sparks & Kara Joyner, 2019. "Population Research Briefs in Population Research and Policy Review," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(2), pages 153-155, April.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
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