Infrastructural evolution: the algorithmic mediation and the platform logic of irregular Chinese migration to the United States

This paper theorizes the digital transformation of irregular migration as a process of infrastructural evolution, focusing on the quick surge of irregular Chinese immigrants undertaking the so-called zouxian journey to the United States via Latin America. Based on multi-sited digital ethnography and in-depth interviews, this study analyzes how social media platforms have become central to organizing, mediating, and sustaining transnational mobility. We highlight three dynamics that underpins this digital transformation in algorithmic amplification of migration-related content based on behavioral profiling, the circulation of user-generated content in incentive-driven knowledge ecosystem, and the emergence of social media platforms as de facto migration infrastructure that increasingly supplant and integrate traditional intermediaries. By bridging migration infrastructure theory and platform studies, this paper shows how algorithmic mediation is reshaping not only the routes and practices of migration, but also the power relations, temporalities, and epistemic structures through which mobility is imagined, enacted, and contested in the digital age.

Authors

Institutions

Publication Details

Journal
Comparative Migration Studies
Published
2025-12-22
DOI
https://doi.org/10.1186/s40878-025-00519-y
Primary Topic
Diaspora, migration, transnational identity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Infrastructural evolution: the algorithmic mediation and the platform logic of irregular Chinese migration to the United States

Tianlong You, Shasha Lin
Comparative Migration Studies
Diaspora, migration, transnational identity
article

Infrastructural evolution: the algorithmic mediation and the platform logic of irregular Chinese migration to the United States

Tianlong You, Shasha Lin
article en

Abstract

This paper theorizes the digital transformation of irregular migration as a process of infrastructural evolution, focusing on the quick surge of irregular Chinese immigrants undertaking the so-called zouxian journey to the United States via Latin America. Based on multi-sited digital ethnography and in-depth interviews, this study analyzes how social media platforms have become central to organizing, mediating, and sustaining transnational mobility. We highlight three dynamics that underpins this digital transformation in algorithmic amplification of migration-related content based on behavioral profiling, the circulation of user-generated content in incentive-driven knowledge ecosystem, and the emergence of social media platforms as de facto migration infrastructure that increasingly supplant and integrate traditional intermediaries. By bridging migration infrastructure theory and platform studies, this paper shows how algorithmic mediation is reshaping not only the routes and practices of migration, but also the power relations, temporalities, and epistemic structures through which mobility is imagined, enacted, and contested in the digital age.

Comparative Migration StudiesVol. 13(1)
Yunnan University (CN), Heidelberg University (DE)
Deutsche Forschungsgemeinschaft
Reduced inequalities
Openalex Percentile: Top 21%
Diaspora, migration, transnational identity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Infrastructural evolution: the algorithmic mediation and the platform logic of irregular Chinese migration to the United States — Tianlong You, Shasha Lin · Comparative Migration Studies (2025) | TGRS Research Map | TGRS