Migrant by Proxy: How Big Data Defines and Redefines Human Mobility

In big data systems, migrants rarely appear as self-identified social actors. Instead, they are rendered through proxies such as social media traces, mobile phone records, or online behavioural signals. We introduce the concept of the migrant by proxy to examine how such indicators do more than approximate migration: they shape what migration becomes measurable, visible, and governable. Across discursive, behavioural, infrastructural, and demographic perspectives, we argue that proxies function as technical indicators, epistemic operators, and governance devices. While analytically valuable, they structurally exclude key populations and cannot capture migration as lived experience, requiring stronger standards for validation, triangulation, and accountability.

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Publication Details

Journal
Journal of Immigrant & Refugee Studies
Published
2026-06-18
DOI
https://doi.org/10.1080/15562948.2026.2689658
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
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article

Migrant by Proxy: How Big Data Defines and Redefines Human Mobility

Alina Sîrbu, Tuba Bircan, Albert Ali Salah, Carlos Arcila Calderón et al.
Journal of Immigrant & Refugee Studies
Human Mobility and Location-Based Analysis
article

Migrant by Proxy: How Big Data Defines and Redefines Human Mobility

Alina Sîrbu, Tuba Bircan, Albert Ali Salah, Carlos Arcila Calderón, Haodong Qi
article en

Abstract

In big data systems, migrants rarely appear as self-identified social actors. Instead, they are rendered through proxies such as social media traces, mobile phone records, or online behavioural signals. We introduce the concept of the migrant by proxy to examine how such indicators do more than approximate migration: they shape what migration becomes measurable, visible, and governable. Across discursive, behavioural, infrastructural, and demographic perspectives, we argue that proxies function as technical indicators, epistemic operators, and governance devices. While analytically valuable, they structurally exclude key populations and cannot capture migration as lived experience, requiring stronger standards for validation, triangulation, and accountability.

Journal of Immigrant & Refugee Studies
Vrije Universiteit Brussel (BE), Malmö University (SE), Universidad de Salamanca (ES), Utrecht University (NL), University of Bologna (IT)
Reduced inequalities
Openalex Percentile: Top 4%
Human Mobility and Location-Based Analysis
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