# A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X

arXiv: https://arxiv.org/abs/2411.00376 · HTML: https://mlsanity.com/paper/2411.00376/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Nov 2024.

## Built on by (most cited first, 7 of 7)

- [Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity](https://mlsanity.com/paper/2507.00657/) (2025)
- [Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation](https://mlsanity.com/paper/2503.23242/) (2025)
- [Community-Aligned Behavior Under Uncertainty: Evidence of Epistemic Stance Transfer in LLMs](https://mlsanity.com/paper/2511.17572/) (2025)
- [Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions](https://mlsanity.com/paper/2604.16765/) (2026)
- [The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events](https://mlsanity.com/paper/2605.12452/) (2026)
- [Making Political Text Scaling Comparable: Infrastructure and Hyperparameter Sensitivity for 17 Algorithms](https://mlsanity.com/paper/2609.17602/) (2026)
- [Why Does Misinformation Propagate Faster? An Algorithmic Perspective on X](https://mlsanity.com/paper/2609.28947/) (2026)

## Abstract (arXiv)

In this paper, we introduce the first release of a large-scale dataset capturing discourse on mathbbX (a.k.a., Twitter) related to the upcoming 2024 U.S. Presidential Election. Our dataset comprises 22 million publicly available posts on X.com, collected from May 1, 2024, to July 31, 2024, using a custom-built scraper, which we describe in detail. By employing targeted keywords linked to key political figures, events, and emerging issues, we aligned data collection with the election cycle to capture evolving public sentiment and the dynamics of political engagement on social media. This dataset offers researchers a robust foundation to investigate critical questions about the influence of social media in shaping political discourse, the propagation of election-related narratives, and the spread of misinformation. We also present a preliminary analysis that highlights prominent hashtags and keywords within the dataset, offering initial insights into the dominant themes and conversations occurring in the lead-up to the election. Our dataset is available at: urlhttps://github.com/sinking8/usc-x-24-us-election