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Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level
2021
Social Sciences
The study of migrations and mobility has historically been severely limited by the absence of reliable data or the temporal sparsity of available data. Using geospatial digital trace data, the study of population movements can be much more precisely and dynamically measured. Our research seeks to develop a near real-time (one-day lag) Twitter census that gives a more temporally granular picture of local and non-local population at the county level. Internal validation reveals over 80% accuracy
doi:10.3390/socsci10060227
fatcat:hubu35z67rbvlb4qgb7qgfxhmm