Mapping the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of ‘big data’.

Highlights: [•] Examines geotagged tweets in the wake of Hurricane Sandy. [•] Argues for a mixed methods approach to studying big data. [•] Uses the TPSN framework to explicitly theorize sociospatial relations of big data. [•] ∼30% of geotagged tweets about Sandy in the US were located in the NYC metro area. [•] Geographies of Twitter are more complex than just places with high concentrations. [Copyright &y& Elsevier]