Immigrant community integration in world cities

Abstract

As a consequence of the accelerated globalization process, today major cities all over the world are characterized by an increasing multiculturalism. The integration of immigrant communities may be affected by social polarization and spatial segregation. How are these dynamics evolving over time? To what extent the different policies launched to tackle these problems are working? These are critical questions traditionally addressed by studies based on surveys and census data. Such sources are safe to avoid spurious biases, but the data collection becomes an intensive and rather expensive work. Here, we conduct a comprehensive study on immigrant integration in 53 world cities by introducing an innovative approach: an analysis of the spatio-temporal communication patterns of immigrant and local communities based on language detection in Twitter and on novel metrics of spatial integration. We quantify the "Power of Integration" of cities --their capacity to spatially integrate diverse cultures-- and characterize the relations between different cultures when acting as hosts or immigrants.

arXiv comment13 pages, 5 figures + Appendix

References in corpus (15)

• Understanding individual human mobility patterns
• Geo-located Twitter as the proxy for global mobility patterns
• Understanding Human Mobility from Twitter
• From mobile phone data to the spatial structure of cities
• On the use of human mobility proxy for the modeling of epidemics
• The Twitter of Babel: Mapping World Languages through Microblogging Platforms
• Uncovering the spatial structure of mobility networks
• Cross-checking different sources of mobility information
• The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics
• Entangling mobility and interactions in social media
• Inferring land use from mobile phone activity
• Crowdsourcing Dialect Characterization through Twitter
• Influence of sociodemographic characteristics on human mobility
• Human diffusion and city influence
• Tweets on the road

Cited by in corpus (8)

• Demographic Inference and Representative Population Estimates from Multilingual Social Media Data
• Mapping the Americanization of English in Space and Time
• Migrant mobility flows characterized with digital data
• Aging effects in Schelling Segregation model
• Entropy as a measure of attractiveness and socioeconomic complexity in Rio de Janeiro metropolitan area
• Characterization of Local Attitudes Toward Immigration Using Social Media
• Mobile Phone Data for Children on the Move: Challenges and Opportunities
• Attitudes Towards Migration in a COVID-19 Context: Testing a Behavioral Immune System Hypothesis with Twitter Data