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

O'Connor K, Golder S, Weissenbacher D, Klein AZ, Magge A, Gonzalez-Hernandez G

DOI: 10.2196/47923
Published: 2024 Mar 15
Container: Journal of medical Internet research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.2196/47923,
  title = {Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.},
  author = {O'Connor K and Golder S and Weissenbacher D and Klein AZ and Magge A and Gonzalez-Hernandez G},
  year = {2024},
  journal = {Journal of medical Internet research},
  doi = {10.2196/47923},
  url = {https://doi.org/10.2196/47923}
}

RIS

TY  - JOUR
TI  - Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.
AU  - O'Connor K
AU  - Golder S
AU  - Weissenbacher D
AU  - Klein AZ
AU  - Magge A
AU  - Gonzalez-Hernandez G
PY  - 2024
JO  - Journal of medical Internet research
DO  - 10.2196/47923
UR  - https://doi.org/10.2196/47923
ER  -

APA

K, O., S, G., D, W., AZ, K., A, M., & G, G. (2024). Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review.. Journal of medical Internet research. https://doi.org/10.2196/47923

Source records

pubmed · retrieved 2026-09-27T01:10:06.136Z