Publications
Authors:
  • Will Radford , Matthias GallĂ©
Citation:
Published in the Journal of Web Science
Abstract:
Film and television play an important role in popular culture. However studies that require watching
and annotating video are time-consuming and ex-
pensive to run at scale. We explore information
mined from media database cast lists to explore
the evolution of different roles over time. We focus
on the gender distribution of those roles and how
this changes over time. We compare real-life employment gender distributions to our web-mediated
onscreen gender data. Finally, we investigate how
gender role biases differ between film and television.
We propose these methodologies are a useful
adjunct to traditional analysis that allow researchers
to explore the relationship between online and on-
screen gender depictions.
Year:
2015
Report number:
2015/063
Attachments: