Analyzing Political Discourse on Discord during the 2024 U.S. Presidential Election

2025-02-05

AI Summary

This study investigates the evolution and ideological characteristics of political discourse on Discord during the 2024 U.S. presidential election. Methodologically, it analyzes over 30 million messages from politically affiliated servers, introducing the first multidimensional analytical framework for Discord’s political ecosystem—integrating human-annotated server-level partisan classification, dynamic topic modeling, semantic bias detection via word embeddings, and toxicity identification. Results reveal pronounced partisan divergence in issue focus: Republican-aligned servers prioritize economic topics, whereas Democratic-aligned servers emphasize equity and progressive issues. Critical events—such as Kamala Harris’s nomination—trigger cross-partisan discursive shifts and precipitate a marked surge in gendered toxic language within Republican servers. The study delivers the first large-scale, fine-grained, temporally resolved characterization of political communication on Discord, uncovering the platform’s distinct mediating role in polarized politics and its capacity to amplify implicit ideological biases within closed social networks.

Technology Category

• Natural Language Processing: Discourse, Pragmatics & Argument Mining
• Application Domains: Humanities & Computational Social Science
• Knowledge Representation and Reasoning: Preferences

Application Category

• Social Networks and Social Media: Media and governance, opinion dynamics, filter bubbles, polarization
• Web Mining and Content Analysis: Topic discovery and tracking
• Economics, Online Markets and Human Computation: Economics and fairness of platforms and recommendation systems

Abstract

Social media networks have amplified the reach of social and political movements, but most research focuses on mainstream platforms such as X, Reddit, and Facebook, overlooking Discord. As a rapidly growing, community-driven platform with optional decentralized moderation, Discord offers unique opportunities to study political discourse. This study analyzes over 30 million messages from political servers on Discord discussing the 2024 U.S. elections. Servers were classified as Republican-aligned, Democratic-aligned, or unaligned based on their descriptions. We tracked changes in political conversation during key campaign events and identified distinct political valence and implicit biases in semantic association through embedding analysis. We observed that Republican servers emphasized economic policies, while Democratic servers focused on equality-related and progressive causes. Furthermore, we detected an increase in toxic language, such as sexism, in Republican-aligned servers after Kamala Harris's nomination. These findings provide a first look at political behavior on Discord, highlighting its growing role in shaping and understanding online political engagement.

Problem

• Analyzing political discourse on Discord
• Identifying biases in political conversations
• Tracking toxic language in political servers

Innovation

• Analyzed 30M Discord messages
• Embedding analysis for biases
• Tracked toxic language trends