DIGITAL TRACKS BEYOND BORDERS: A SYSTEMATIC REVIEW ON THE MIGRATION CRISIS

Year 2023, , 137 - 191, 28.10.2023

Beyza Yılmaz , Emre Özcan

https://doi.org/10.18490/sosars.1382519

Abstract

This study aimed to systematically examine the studies conducted and published on immigrants, asylum seekers, and refugees by using big data written in English. Articles were searched on Scholar, The Web of Science, ProQuest, Science Direct, PubMed and Scopus databases. The concept set centered around the concepts of immigration and big data was used in the surveys. In accordance with the PRISMA protocol principles, 49 articles were examined according to the inclusion and exclusion criteria among 258 articles obtained from the relevant databases until the end of December 2022. The reviewed articles were categorized under the headings of “topics examined”, “dataset”, “analyses”, “software used” and “key findings”. The studies provide indications on how to obtain information about this population, which is difficult to reach group especially due to its massiveness, using big data tools. In the findings, it has been seen that studies based on big data on immigrants, asylum seekers and refugees contribute to facilitating the integration of these groups into the target country. Also, it has been revealed that these studies may lead to undesirable results in terms of violating the confidentiality of research groups, producing labeling, and increasing surveillance for these groups. In addition to these, it has been found that these studies have methodological handicaps in terms of representativeness, accuracy, excessive homogenization, and easy generalization. It is thought that the findings of the study will shed light on the international migration and refugee policies to be carried out using big data analysis tools.

Keywords

Big data, migration, systematic review

SINIRLARIN ÖTESİNDEKİ DİJİTAL İZLER: GÖÇ KRİZİ ÜZERİNE SİSTEMATİK BİR DERLEME

Abstract

Bu çalışma, uluslararası literatürde İngilizce olarak kaleme alınmış, büyük veri analiz araçları kullanılarak göçmen, sığınmacı ve mültecilerle ilgili yapılmış ve yayınlanmış çalışmaların gözden geçirilmesini ve çalışmalardan elde edilen verilerin sistematik bir biçimde incelenmesini amaçlamıştır. Makaleler Scholar, The Web of Science, ProQuest, Science Direct, PubMed ve Scopus veritabanları üzerinden taranmıştır. Taramalarda göçmen ve büyük veri kavramları etrafında yararlanılan kavram seti kullanılmıştır. PRISMA protokol ilkelerine uygun olarak 2022 yılı Aralık ayı sonuna kadar ilgili veritabanlarından elde edilen 258 makale arasından dahil etme ve hariç tutma kriterlerine göre 49 makale incelenmiştir. Taranan makaleler “ele alınan konular”, “veri seti”, “analizler”, “kullanılan yazılım” ve “başlıca bulgular” başlıkları altında incelenerek kategorileştirilmiştir. Araştırmalar, büyük veri araçlarının kullanılması yoluyla özellikle kitleselliği nedeniyle erişilmesi zor bir grup olan bu nüfus hakkında nasıl daha kolay bilgi elde edilebileceğine dair göstergeler sunmaktadır. Bulgularda göçmen, sığınmacı ve mültecilerle ilgili büyük veriye dayalı çalışmaların, bu grupların hedef ülkeye entegrasyonunu kolaylaştırma noktasında katkı sağladığı görülmüştür. Ayrıca bu çalışmaların bu gruplar açısından araştırma gruplarının gizliliğinin ihlal edilmesi, etiketlemeyi üretmesi, gözetimi artırması bağlamında sakıncalı sonuçlar doğurabileceği ortaya konulmuştur. Bunlara ek olarak bu araştırmaların temsil edilebilirlik, doğruluk oranı, aşırı homojenleştirme ve kolay yoldan genelleştirme gibi hususlarda metodolojik handikaplar taşıdığı bulgulanmıştır. Araştırmanın bulgularının büyük veri analiz araçları kullanılarak gerçekleştirilecek uluslararası göç ve mülteci politikalarına ilişkin ışık tutacağı düşünülmektedir.

Keywords

Büyük veri, göç, sistematik derleme

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