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Combining Twitter and mobile phone data to observe border-rush: the Turkish-European border opening

Author

Listed:
  • Carlos Arcila-Calderón

    (University of Salamanca)

  • Bilgeçağ Aydoğdu

    (Utrecht University)

  • Tuba Bircan

    (Vrije Universiteit Brussel)

  • Bünyamin Gündüz

    (Turkcell Technology)

  • Onur Önes

    (Turkcell Technology)

  • Albert Ali Salah

    (Utrecht University)

  • Alina Sîrbu

    (University of Pisa)

Abstract

Following Turkey’s 2020 decision to revoke border controls, many individuals journeyed towards the Greek, Bulgarian, and Turkish borders. However, the lack of verifiable statistics on irregular migration and discrepancies between media reports and actual migration patterns require further exploration. The objective of this study is to investigate the potential of novel data sources, specifically mobile phone and Twitter data, to address this knowledge gap and to construct estimators of cross-border mobility for an improved evaluation of the unfolding events. By employing a migration diplomacy framework, we analyse mobility patterns at the border emerging from the data. Our findings demonstrate the benefits and limitations of these two data sources for both quantitative and qualitative analysis. We also discuss how mobile data and social media sources can be gainfully combined and used for research into the socio-political facets of human mobility, such as sentiment associated with it. We underscore the ethical implications of leveraging big data, particularly considering the vulnerability of the population under study. Our work contributes to a more nuanced understanding of migration dynamics and paves the way for the formulation of regulations that preclude misuse and oppressive surveillance, thereby ensuring a more accurate representation of migration realities.

Suggested Citation

  • Carlos Arcila-Calderón & Bilgeçağ Aydoğdu & Tuba Bircan & Bünyamin Gündüz & Onur Önes & Albert Ali Salah & Alina Sîrbu, 2025. "Combining Twitter and mobile phone data to observe border-rush: the Turkish-European border opening," Journal of Computational Social Science, Springer, vol. 8(1), pages 1-25, February.
    • Handle: RePEc:spr:jcsosc:v:8:y:2025:i:1:d:10.1007_s42001-024-00354-8
    DOI: 10.1007/s42001-024-00354-8
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    References listed on IDEAS

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    1. Ahmad Wali Ahmad-Yar & Tuba Bircan, 2021. "Anatomy of a Misfit: International Migration Statistics," Sustainability, MDPI, vol. 13(7), pages 1-22, April.
    2. Emilio Zagheni & Ingmar Weber, 2015. "Demographic research with non-representative internet data," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 13-25, April.
    3. Karsten Müller & Carlo Schwarz, 2021. "Fanning the Flames of Hate: Social Media and Hate Crime [Radio and the Rise of The Nazis in Prewar Germany]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2131-2167.
    4. Jisu Kim & Alina Sîrbu & Fosca Giannotti & Giulio Rossetti & Hillel Rapoport, 2022. "Origin and destination attachment: study of cultural integration on Twitter," PSE-Ecole d'économie de Paris (Postprint) halshs-04157090, HAL.
    5. Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
    6. Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
    7. Caroline Buckee & Satchit Balsari & Andrew Schroeder, 2022. "Making data for good better," PLOS Digital Health, Public Library of Science, vol. 1(1), pages 1-4, January.
    8. Emilio Zagheni & Ingmar Weber, 2015. "Demographic research with non-representative internet data," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 13-25, April.
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