IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v10y2021i6p227-d574792.html
   My bibliography  Save this article

Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level

Author

Listed:
  • Yago Martín

    (School of Public Administration, University of Central Florida, Orlando, FL 32801, USA)

  • Zhenlong Li

    (Geoinformation and Big Data Research Laboratory, Department of Geography, University of South Carolina, Columbia, SC 29208, USA)

  • Yue Ge

    (School of Public Administration, University of Central Florida, Orlando, FL 32801, USA)

  • Xiao Huang

    (Department of Geosciences, University of Arkansas, Fayetteville, AR 72701, USA)

Abstract

The study of migrations and mobility has historically been severely limited by the absence of reliable data or the temporal sparsity of available data. Using geospatial digital trace data, the study of population movements can be much more precisely and dynamically measured. Our research seeks to develop a near real-time (one-day lag) Twitter census that gives a more temporally granular picture of local and non-local population at the county level. Internal validation reveals over 80% accuracy when compared with users’ self-reported home location. External validation results suggest these stocks correlate with available statistics of residents/non-residents at the county level and can accurately reflect regular (seasonal tourism) and non-regular events such as the Great American Solar Eclipse of 2017. The findings demonstrate that Twitter holds the potential to introduce the dynamic component often lacking in population estimates. This study could potentially benefit various fields such as demography, tourism, emergency management, and public health and create new opportunities for large-scale mobility analyses.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jscscx:v:10:y:2021:i:6:p:227-:d:574792
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/10/6/227/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/10/6/227/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Monica Alexander & Kivan Polimis & Emilio Zagheni, 2019. "The Impact of Hurricane Maria on Out‐migration from Puerto Rico: Evidence from Facebook Data," Population and Development Review, The Population Council, Inc., vol. 45(3), pages 617-630, September.
    2. Emilio Zagheni & Ingmar Weber & Krishna Gummadi, 2017. "Leveraging Facebook's Advertising Platform to Monitor Stocks of Migrants," Population and Development Review, The Population Council, Inc., vol. 43(4), pages 721-734, December.
    3. Barslund, Mikkel & Busse, Matthias, 2016. "How mobile is tech talent? A case study of IT professionals based on data from LinkedIn," CEPS Papers 11692, Centre for European Policy Studies.
    4. 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.
    5. Carlos Vargas-Silva (ed.), 2012. "Handbook of Research Methods in Migration," Books, Edward Elgar Publishing, number 14062.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang Yang & Xiang Chen & Song Gao & Zhenlong Li & Zhe Zhang & Bo Zhao, 2023. "Embracing geospatial analytical technologies in tourism studies," Information Technology & Tourism, Springer, vol. 25(2), pages 137-150, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. Lutfu Saribulut & Gorkem Ok & Arman Ameen, 2023. "A Case Study on National Electricity Blackout of Turkey," Energies, MDPI, vol. 16(11), pages 1-20, May.
    8. Mario Marazzi & Boriana Miloucheva & Gustavo J. Bobonis, 2021. "Displacement and Mortality After a Disaster: Deaths of Puerto Ricans in the United States Post-Hurricane Maria," Working Papers tecipa-710, University of Toronto, Department of Economics.
    9. Giovanni Peri & Derek Rury & Justin C. Wiltshire, 2020. "The Economic Impact of Migrants from Hurricane Maria," NBER Working Papers 27718, National Bureau of Economic Research, Inc.
    10. 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.
    11. 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.
    12. Amílcar Matos-Moreno & Alexis R. Santos-Lozada & Neil Mehta & Carlos F. Mendes de Leon & Félice Lê-Scherban & Amélia A. Lima Friche, 2022. "Migration is the Driving Force of Rapid Aging in Puerto Rico: A Research Brief," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 801-810, June.
    13. 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.
    14. Felix L. Friedt & Abigail Crispin, 2022. "The Far Reach of Hurricane Maria:," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 29-71, March.
    15. Aliakbar Akbaritabar & Tom Theile & Emilio Zagheni, 2023. "Global flows and rates of international migration of scholars," MPIDR Working Papers WP-2023-018, Max Planck Institute for Demographic Research, Rostock, Germany.
    16. Francesco C. Billari, 2022. "Demography: Fast and Slow," Population and Development Review, The Population Council, Inc., vol. 48(1), pages 9-30, March.
    17. 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.
    18. Michael E. Cummings & Alan Gamlen, 2019. "Diaspora engagement institutions and venture investment activity in developing countries," Journal of International Business Policy, Palgrave Macmillan, vol. 2(4), pages 289-313, December.
    19. 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.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jscscx:v:10:y:2021:i:6:p:227-:d:574792. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.