Convergence Between Migrant Smuggling and Trafficking of Goods: Text Analysis of Open-Source Data

Alberto Aziani*, Maria Paz Jofre Alegria, Marina Mancuso

*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolopeer review

Abstract

There is debate about the convergence of migrant smuggling and transnational trafficking of goods, the threat it poses to society, and its evolution in response to the COVID-19 pandemic. However, empirical evidence is limited. We tested for convergence using a methodology based on natural language processing. Results show that convergence occurs, but it is rare and episodic. Exploratory results suggest that COVID-19 containment policies had no impact on the simultaneous occurrence of migrant smuggling and transnational trafficking of goods. These findings expand our understanding of migrant smuggling and provide suggestions for policymakers to combat transnational crimes.
Lingua originaleInglese
pagine (da-a)N/A-N/A
RivistaInternational Migration Review
Numero di pubblicazioneN/A
DOI
Stato di pubblicazionePubblicato - 2023

All Science Journal Classification (ASJC) codes

  • Demografia
  • Discipline Umanistiche (varie)

Keywords

  • COVID-19
  • Crime convergence
  • Natural Language Processing
  • North Africa
  • Open-source data
  • Smuggling of migrants
  • Text analytics
  • Transnational Crime

Fingerprint

Entra nei temi di ricerca di 'Convergence Between Migrant Smuggling and Trafficking of Goods: Text Analysis of Open-Source Data'. Insieme formano una fingerprint unica.

Cita questo