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Inferring International and Internal Migration Patterns from Twitter Data
Because of the weaknesses associated with using censuses data to estimate migratory flows, some researchers suggest that geolocated big data, like cell phone data or even date from social media platforms like Twitter, might be useful, more accurate alternatives. This brief article outlines the methodology and findings of the authors' attempt to use geolocated Twitter data to track migratory flows in OECD countries. Issues like the possibility of selection bias are also discussed and are taken into account.