There have been emerging interests in location-based social media in recent
decades, and twitter is one of the most popular platforms integrated with
cross-disciplinary research. However, the representational bias of twitter
data
is under investigation, and a good understanding of such issue remains an
ignorable gap. Focusing on the proportions of major genders, this research
explores the representativeness of twitter data in Clarke County, Georgia,
by
comparing the demographics of active Twitter users with such characteristics
of
the local population at census tract level, further generating the maps of
gender representativeness of Twitter. The results of spatial and non-spatial
characteristics are also visualized using bivariate choropleth map with
corresponding plot chart.
Click
to view the poster gallery at UCGIS Symposium
2020.