Using data science to understand the film industry’s gender gap
Crossref DOI link: https://doi.org/10.1057/s41599-020-0436-1
Published Online: 2020-05-13
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kagan, Dima http://orcid.org/0000-0002-8216-8776
Chesney, Thomas
Fire, Michael
Text and Data Mining valid from 2020-05-13
Version of Record valid from 2020-05-13
Article History
Received: 25 September 2019
Accepted: 11 March 2020
First Online: 13 May 2020
Competing interests
: The authors declare no competing interests.