Online social integration of migrants: Evidence from Twitter

Abstract

As online social activities have become increasingly important for people's lives, understanding how migrants integrate into online spaces is crucial for providing a more complete picture of integration processes. We curate a high-quality data set to quantify patterns of new online social connections among immigrants in the United States. Specifically, we focus on Twitter and leverage the unique features of these data, in combination with a propensity score matching technique, to isolate the effects of migration events on social network formation. The results indicate that migration events led to an expansion of migrants' networks of friends on Twitter in the destination country, relative to those of similar users who did not move. Male migrants between 19 and 29 years old who actively posted more tweets in English after migration also tended to have more local friends after migration compared to other demographic groups, indicating the impact of demographic characteristics and language skills on integration. The percentage of migrants' friends from their country of origin decreased in the first few years after migration and increased again in later years. Finally, unlike for migrants' friends' networks, which were under their control, we did not find any evidence that migration events expanded migrants' networks of followers in the destination country. While following users on Twitter in theory is not a geographically constrained process, our work shows that offline (re)location plays a significant role in the formation of online networks.