Truth Social Dataset
Patrick Gerard, Nicholas Botzer, Tim Weninger

TL;DR
This paper introduces a comprehensive dataset of over 823,000 posts from Truth Social, analyzing its content, temporal features, and social network to facilitate research on this influential platform.
Contribution
The paper provides the first well-curated dataset of Truth Social, enabling detailed analysis of its content, user behavior, and network structure, which was previously lacking.
Findings
Dataset includes over 823,000 posts and 454,000 users.
Initial analysis reveals content patterns and temporal activity trends.
Network analysis offers insights into user interactions and influence.
Abstract
Formally announced to the public following former President Donald Trump's bans and suspensions from mainstream social networks in early 2022 after his role in the January 6 Capitol Riots, Truth Social was launched as an "alternative" social media platform that claims to be a refuge for free speech, offering a platform for those disaffected by the content moderation policies of the existing, mainstream social networks. The subsequent rise of Truth Social has been driven largely by hard-line supporters of the former president as well as those affected by the content moderation of other social networks. These distinct qualities combined with its status as the main mouthpiece of the former president positions Truth Social as a particularly influential social media platform and give rise to several research questions. However, outside of a handful of news reports, little is known about the…
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Social Media and Politics · Topic Modeling
