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T. Chesney

1 paper hereh-index 181.5k citations86 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedUsing Data Science to Understand the Film Industry's Gender Gap

32 citations · 32 across the 1 of their papers we have counts for

collaborators

1 paper

cs.SI2019★ 32 cited

Using Data Science to Understand the Film Industry's Gender Gap

Dima Kagan, Thomas Chesney, Michael Fire

Data science can offer answers to a wide range of social science questions. Here we turn attention to the portrayal of women in movies, an industry that has a significant influence…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.