This paper is in the following e-collection/theme issue:

Digital Health Reviews (1456) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1756) Natural Language Processing (770) Artificial Intelligence (1634) Machine Learning (1658)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47923, first published .
Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review

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

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

Authors of this article:

Karen O'Connor1 Author Orcid Image ;   Su Golder2 Author Orcid Image ;   Davy Weissenbacher3 Author Orcid Image ;   Ari Z Klein1 Author Orcid Image ;   Arjun Magge1 Author Orcid Image ;   Graciela Gonzalez-Hernandez3 Author Orcid Image
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New in JMIR: Methods and Annotated Data Sets Used to Predict the Gender and Age of #Twitter Users: Scoping Review https://t.co/sZzsdlF51o https://t.co/FU9oioeU5r

3:15 PM · Mar 15, 2024

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Methods and Annotated Data Sets Used to Predict the Gender and Age of #Twitter Users: Scoping Review https://t.co…

3:15 PM · Mar 15, 2024

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Tom Bellis Tom Bellis @tommybellis

Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review https://t.co/AkUbep44CK https://t.co/aaPfZ1UKmC

4:26 PM · Mar 15, 2024

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