Gendered Communication Patterns of Political Elites on Truth Social
Tom Bidewell, Artemis Deligianni, Tu\u{g}rulcan Elmas, Clare Llewellyn, Bj\"orn Ross

TL;DR
This study analyzes gendered communication patterns among political elites on Truth Social, revealing persistent and nuanced gender differences in rhetoric, engagement, and thematic framing within a hyper-partisan, alt-tech environment.
Contribution
First large-scale analysis of political elite communication on Truth Social, highlighting how gender influences rhetorical style, topic framing, and audience engagement in a niche social media context.
Findings
Women express more joy and less anger than men.
Women receive higher audience engagement.
Gender differences in topic framing and rhetorical strategies are platform-specific.
Abstract
The influence of gender on online political communication remains contested, with existing scholarship providing mixed evidence as to whether gender shapes political messaging in digital environments. However, this debate has largely centred on mainstream platforms such as X (formerly Twitter), leaving the dynamics of alt-tech social media underexamined. This paper addresses this gap by analysing gendered patterns of political communication on Truth Social, a hyper-partisan platform that functions as a hub for the most committed followers of the American far right, a community closely associated with hegemonic masculine norms. To address this gap, we present the first large-scale analysis of political elite communication on Truth Social, using a novel dataset of 107k posts from 129 U.S. political figures. We examine the extent to which gender influences rhetorical style, topic framing,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSocial Media and Politics · Misinformation and Its Impacts · Hate Speech and Cyberbullying Detection
