A Public Dataset on the 2024 U.S. Presidential Election on Twitter/X

SSRN Paper: <a href="https://ssrn.com/abstract=5018883" rel="external nofollow noopener" target="_blank">View on SSRN
Dataset on GitHub: <a href="https://github.com/sinking8/usc-x-24-us-election" rel="external nofollow noopener" target="_blank">sinking8/usc-x-24-us-election
DOI: <a href="http://dx.doi.org/10.2139/ssrn.5018883" rel="external nofollow noopener" target="_blank">10.2139/ssrn.5018883

We just released the first version of a large-scale dataset capturing political discourse on Twitter/X related to the 2024 U.S. Presidential Election. The dataset consists of over 22 million posts collected between May 1, 2024 and July 31, 2024, using a custom-built scraper targeting election-specific hashtags, political figures, and major events.

This work is co-authored by Ashiwin Balasubramanian, Vito Zou, Hitesh Narayana, Christina You, and Emilio Ferrara.

Abstract

In this paper, we introduce a dataset comprising 22 million publicly available posts on X.com (formerly Twitter), collected from May to July 2024. Using a targeted scraping strategy focused on keywords tied to key political figures, events, and narratives, we aligned our data collection with the U.S. election cycle to study real-time discourse, sentiment, and misinformation.
We also present a preliminary analysis of dominant hashtags and topics, laying the groundwork for future research on online political influence.

Citation

@misc{balasubramanian2024public,
  title={A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X},
  author={Balasubramanian, Ashiwin and Zou, Vito and Narayana, Hitesh and You, Christina and Ferrara, Emilio},
  year={2024},
  note={SSRN Working Paper},
  url={https://ssrn.com/abstract=5018883}
}

Abstract

Links

Citation