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Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.

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Title: Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.
Authors: O'Connor, Karen1 (AUTHOR) karoc@pennmedicine.upenn.edu, Golder, Su2 (AUTHOR), Weissenbacher, Davy3 (AUTHOR), Klein, Ari Z1 (AUTHOR), Magge, Arjun1 (AUTHOR), Gonzalez-Hernandez, Graciela3 (AUTHOR)
Source: Journal of Medical Internet Research. 2024, Vol. 26, p1-24. 24p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2024, Vol. 26, p1-24. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182058346
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        Value: 10.2196/47923
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        Text: English
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        PageCount: 24
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      – TitleFull: Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.
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            NameFull: Magge, Arjun
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              Text: 2024
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              Y: 2024
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