Use of machine learning methods to understand discussions of female genital mutilation/cutting on social media

Abstract excerpt

Female genital mutilation/cutting (FGM/C) describes several procedures that involve injury to the vulva or vagina for nontherapeutic reasons. Though at least 200 million women and girls living in 30 countries have undergone FGM/C, there is a paucity of studies focused on public perception of FGM/C. We used machine learning methods to characterize discussion of FGM/C on Twitter in English from 2015 to 2020. Twitter...

Topics

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• Data-Driven Disease Surveillance
• Poxvirus research and outbreaks
• Reproductive Health and Technologies
• Vaccine Coverage and Hesitancy

Identifiers and source

Literature Corpus work

4dcee84e-d643-5327-b535-3224f4e738ca

DOI

10.1101/2022.07.14.22277640