USC X-24: US Election 2024 Twitter Dataset
A Twitter/X dataset of 42,014,825 tweets from the 2024 US presidential election period across 39 data parts with full engagement metadata (41,561,521 records with engagement metrics), collected by USC Information Sciences Institute via Twitter/X API during the 2024 US election period. Each record contains tweet text, engagement metrics (reply count, retweet count, like count, quote count, view count), language, media attachments, reply chain metadata, user location, and publication timestamp. The dataset is notable for its one of the largest publicly available datasets from the 2024 US presidential election, with full engagement metadata per tweet enabling study of information amplification and political discourse dynamics. Intended for research into political opinion mining, election discourse analysis, misinformation detection, engagement prediction, and temporal analysis of political social media.
Cite this dataset at
usc-x24.echo.directory
Analytics
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 17 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Sampled: text metrics from 50K of 42M records; topic model from 20K.
Record
- Catalog key
usc-x24- Authors
- Balasubramanian, Ashwin; Zou, Vito; Narayana, Hitesh; You, Christina; Luceri, Luca; Ferrara, Emilio
- Year
- 2024
- Source paper
- A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X
- DOI / arXiv
- 10.48550/arXiv.2411.00376
- License
- CC BY-NC-SA 4.0 (CC-BY-NC-SA-4.0)
- Records
- 42,014,825
- Text corpus
- tweet text
- Languages
- en
- Collected
- 2024 (2020s)
- Tasks
- Bot detection inferred
- Region
- United States · North America (inferred: named in the description)
Provenance
- Originally published at
- https://github.com/sinking8/usc-x-24-us-election link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 15.4 GB across 882 files. Checksums in MANIFEST.json.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@misc{https://doi.org/10.48550/arxiv.2411.00376,
doi = {10.48550/ARXIV.2411.00376},
url = {https://arxiv.org/abs/2411.00376},
author = {Balasubramanian, Ashwin and Zou, Vito and Narayana, Hitesh and You, Christina and Luceri, Luca and Ferrara, Emilio},
keywords = {Social and Information Networks (cs.SI), FOS: Computer and information sciences},
title = {A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X},
publisher = {arXiv},
year = {2024},
copyright = {Creative Commons Attribution 4.0 International}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Balasubramanian, A., Zou, V., Narayana, H., You, C., Luceri, L., & Ferrara, E. (2024). USC X-24: US Election 2024 Twitter Dataset [Data set]. https://doi.org/10.48550/arXiv.2411.00376
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Balasubramanian, Ashwin, et al. USC X-24: US Election 2024 Twitter Dataset. 2024, doi.org/10.48550/arXiv.2411.00376.