Unfiltered Conversations: A Dataset of 2024 U.S. Presidential Election Discourse on Truth Social
Kashish Shah, Patrick Gerard, Luca Luceri, Emilio Ferrara

TL;DR
This paper introduces a large, publicly available dataset of 1.5 million posts from Truth Social related to the 2024 U.S. Presidential Election, enabling research on political discourse and information spread on alt-tech platforms.
Contribution
It provides the first comprehensive dataset capturing user activity, content, and interactions on Truth Social during the 2024 election cycle, facilitating analysis of online political communication.
Findings
Dataset includes 1.5 million posts from February to October 2024.
Contains detailed user engagement features and metadata.
Supports research on misinformation and community formation.
Abstract
Truth Social, launched as a social media platform with a focus on free speech, has become a prominent space for political discourse, attracting a user base with diverse, yet often conservative, viewpoints. As an emerging platform with minimal content moderation, Truth Social has facilitated discussions around contentious social and political issues but has also seen the spread of conspiratorial and hyper-partisan narratives. In this paper, we introduce and release a comprehensive dataset capturing activity on Truth Social related to the upcoming 2024 U.S. Presidential Election, including posts, replies, user interactions, content and media. This dataset comprises 1.5 million posts published between February, 2024 and October 2024, and encompasses key user engagement features and posts metadata. Data collection began in June 2024, though it includes posts published earlier, with the…
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Taxonomy
TopicsMisinformation and Its Impacts · Rhetoric and Communication Studies · Hate Speech and Cyberbullying Detection
