Candidata: United States 2024 Elections Candidates and Social Media Handles

Authors

  • Megan A. Brown University of Michigan
  • Maggie Macdonald University of Kentucky
  • Josephine Lukito University of Southern Denmark
  • Cameron Hickey National Conference on Citizenship, Algorithmic Transparency Institute
  • Kaitlyn Dowling National Conference on Citizenship, Algorithmic Transparency Institute
  • Myra Miranda National Conference on Citizenship, Algorithmic Transparency Institute

DOI:

https://doi.org/10.1609/icwsm.v20i1.42779

Abstract

We introduce the Candidata dataset, a public archive of social media data for candidates for primary and general federal elections in the United States in 2024. The data collection spans multiple platforms, capturing the diverse ways candidates interact with potential voters, media, and other audiences. By documenting candidate behavior across platforms, this dataset provides an unprecedented resource for analyzing the full scope of social media use in political campaigns. The dataset includes the full list of candidates for federal elections in the United States in 2024, including candidate demographics, election information, and identifiers to link the candidates to other datasets. The social media data includes message content and metadata such as post timestamp and engagement metrics.
ICWSM-2026 Proceedings Cover

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Published

2026-05-25

How to Cite

Brown, M. A., Macdonald, M., Lukito, J., Hickey, C., Dowling, K., & Miranda, M. (2026). Candidata: United States 2024 Elections Candidates and Social Media Handles. Proceedings of the International AAAI Conference on Web and Social Media, 20(1), 2747–2755. https://doi.org/10.1609/icwsm.v20i1.42779

Issue

Vol. 20 No. 1: Proceedings of the Twentieth International AAAI Conference on Web and Social Media

Section

Dataset Papers