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Social media enables the rapid spread of many kinds of information, frommemes to social movements. However, little is known about how informationcrosses linguistic boundaries. We apply causal inference techniques on theEuropean Twitter network to quantify multilingual users' structural role andcommunication influence in cross-lingual information exchange. Overall,multilinguals play an essential role; posting in multiple languages increasesbetweenness centrality by 13%, and having a multilingual network neighborincreases monolinguals' odds of sharing domains and hashtags from anotherlanguage 16-fold and 4-fold, respectively. We further show that multilingualshave a greater impact on diffusing information less accessible to theirmonolingual compatriots, such as information from far-away countries andcontent about regional politics, nascent social movements, and jobopportunities. By highlighting information exchange across borders, this worksheds light on a crucial component of how information and ideas spread aroundthe world.

Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media