  Previous studies have shown that Twitter users have biases to tweet from
certain locations, locational bias, and during certain hours, temporal bias. We
used three years of geolocated Twitter Data to quantify these biases and test
our central hypothesis that Twitter users biases are consistent across US
cities. Our results suggest that temporal and locational bias of Twitter users
are inconsistent between three US metropolitan cities. We derive conclusions
about the role of the complexity of the underlying data producing process on
its consistency and argue for the potential research avenue for Geospatial Data
Science to test and quantify these inconsistencies in the class of organically
evolved Big Data.
