Abstract
The cultural integration of immigrants conditions their overall socio-economic integration as well as natives’ attitudes towards globalisation in general and immigration in particular. At the same time, excessive integration—or assimilation—can be detrimental in that it implies forfeiting one’s ties to the origin country and eventually translates into a loss of diversity (from the viewpoint of host countries) and of global connections (from the viewpoint of both host and home countries). Cultural integration can be described using two dimensions: the preservation of links to the origin country and culture, which we call origin attachment, and the creation of new links together with the adoption of cultural traits from the new residence country, which we call destination attachment. In this paper we introduce a means to quantify these two aspects based on Twitter data. We build origin and destination attachment indices and analyse their possible determinants (e.g., language proximity, distance between countries), also in relation to Hofstede’s cultural dimension scores. The results stress the importance of language: a common language between origin and destination countries favours origin attachment, as does low proficiency in the host language. Common geographical borders seem to favour both origin and destination attachment. Regarding cultural dimensions, larger differences among origin and destination countries in terms of Individualism, Masculinity and Uncertainty appear to favour destination attachment and lower origin attachment.
| Original language | English |
|---|---|
| Article number | 55 |
| Journal | EPJ Data Science |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022, The Author(s).
Funding
This work was supported by the European Commission through the Horizon2020 European projects “SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics” (grant agreement no 871042) and “HumMingBird—Enhanced migration measures from a multidimensional perspective” (Research and Innovation Action, grant agreement no 870661). Open Access funding enabled and organized by Projekt DEAL. This work received a first prize award for the flash talk at the conference “New Data for the new challenges of population and society”, organised by the Department of Statistical Sciences of the University of Padova, within the Project of Excellence “Statistical methods and models for complex data”.
| Funders | Funder number |
|---|---|
| Research and Innovation Action | |
| Horizon 2020 Framework Programme | 871042, 870661 |
| European Commission | |
| Università degli Studi di Padova |
Keywords
- Big data
- Cultural integration
- International migration