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Identifying gender bias in blockbuster movies through the lens of machine learning.

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Bibliographic Details
Title: Identifying gender bias in blockbuster movies through the lens of machine learning.
Authors: Haris, Muhammad Junaid1, junaid.haris@abo.fi, Upreti, Aanchal1, Kurtaran, Melih1, Ginter, Filip2, Lafond, Sebastien1, Azimi, Sepinoud1
Source: Humanities & Social Sciences Communications; 3/10/2023, Vol. 10 Issue 1, p1-8, 8p
Database: Humanities Source
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  Availability: 0
Header DbId: hus
DbLabel: Humanities Source
An: 162323241
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Humanities+%26+Social+Sciences+Communications%22">Humanities & Social Sciences Communications</searchLink>; 3/10/2023, Vol. 10 Issue 1, p1-8, 8p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=hus&AN=162323241
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        Value: 10.1057/s41599-023-01576-3
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        Text: English
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              Text: 3/10/2023
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              Y: 2023
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