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

Digital Health Reviews (3839) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2722) Natural Language Processing (1331) Machine Learning (3331) Artificial Intelligence (5010)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47923, first published .
Diverse group of young adults looking at their smartphones while standing in a line.

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
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Golder S, Xu D, O’Connor K, Wang Y, Batra M, Hernandez G. Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review. Drug Safety 2025;48(4):321 View
  2. Chedrawi C, Raya K, Kazoun N. Social media role in detecting food supply chain management challenges through blockchain technology. Journal of Asia Business Studies 2025;19(3):635 View
  3. Qiu G, Li Y, Dai S, Qin K, Wang Z, Liu Y, Liu J, Jia P. High-resolution mapping of demographic compositions based on remote sensing and social media data: a multimodal, multi-output modeling approach. International Journal of Geographical Information Science 2026:1 View
  4. Awais M, Bashir M. A large-scale dataset and one-vs-all ensemble with confidence-based decision fusion approach for age prediction. Discover Artificial Intelligence 2026;6(1) View
  5. Rita P, António N, Silva S, Vong C. Mapping digital brand engagement through large-scale social listening: evidence from conversations retrieved through youth-coded queries. Behaviour & Information Technology 2026:1 View

Conference Proceedings

  1. Suman C, Thakur R. 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). Examining the Joint Influence of Sarcasm and Emotion on Gender Prediction View
  2. Sazzed S, Pial M, Dehan F. 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). SocialDemoExtract: A Tool for Extracting Self-Reported Age and Gender from Social Media Text View
  3. Abate J, Peixoto F, Bald J, Delgado M, Silva T. Anais do X Workshop de Computação Urbana (CoUrb 2026). A BERT-Based Approach for Gender Inference from Place Reviews: Applications to Urban Representativeness View
  4. Singhal P, Pasha S, Soni T, Singh A, Sharma V. 2026 International Conference on Natural Language Processing and Computer Vision (ICNPCV). A Multimodal Deep Learning Framework for Gender Classification Using Twitter Data View