In response to the increasingly complex and heterogeneous immigrant communities settling in Europe, European countries have adopted various civic integration measures. Measures aiming to facilitate language acquisition are considered crucial for integration and cooperation between immigrants and natives. Simultaneously, the rapid expansion of social media usage is believed to change the factors affecting immigrants’ language acquisition. However, only a few previous studies have analyzed whether this is the case. This article uses a novel longitudinal data source derived from Twitter to (1) analyze differences in the pace of immigrants’ language acquisition depending on the migration policies of destination countries and (2) study how the relative sizes of the migrant groups in destination countries, and the linguistic and geographical distances between origin and destination countries, are associated with language acquisition. Results show that immigrants who live in countries with strict language acquisition requirements for immigrants and conservative citizenship policies have the highest median times until language acquisition. Based on Twitter data, we also find that language acquisition is associated with classic explanatory variables, such as the size of the immigrant group in the destination country and the linguistic and geographical distance between origin and destination country similar to the previous studies.

中文翻译：

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EU-15 的移民政策和移民的语言习得：来自 Twitter 的证据

针对欧洲定居的移民群体日益复杂化和异质化，欧洲各国采取了各种公民融合措施。旨在促进语言习得的措施被认为对于移民与当地人之间的融合与合作至关重要。同时，社交媒体使用的迅速扩大被认为会改变影响移民语言习得的因素。然而，之前只有少数研究分析了情况是否如此。本文使用源自推特的新颖纵向数据源来（1）分析移民语言习得速度的差异，具体取决于目的地国家的移民政策，以及（2）研究目的地国家移民群体的相对规模，原籍国和目的地国之间的语言和地理距离与语言习得有关。结果显示，居住在对移民语言习得要求严格且公民政策保守的国家的移民，语言习得所需的中位时间最长。基于推特数据，我们还发现语言习得与经典的解释变量相关，例如目的地国移民群体的规模以及原籍国和目的地国之间的语言和地理距离，这与之前的研究类似。结果显示，居住在对移民语言习得要求严格且公民政策保守的国家的移民，语言习得所需的中位时间最长。基于推特数据，我们还发现语言习得与经典的解释变量相关，例如目的地国移民群体的规模以及原籍国和目的地国之间的语言和地理距离，这与之前的研究类似。结果显示，居住在对移民语言习得要求严格且公民政策保守的国家的移民，语言习得所需的中位时间最长。基于推特数据，我们还发现语言习得与经典的解释变量相关，例如目的地国移民群体的规模以及原籍国和目的地国之间的语言和地理距离，这与之前的研究类似。