SOURCE-LINKED INTELLIGENCE
Automated Identification of Competing Narratives in Political Discourse on Social Media
Social media platforms have become central to shaping political discourse, serving as arenas where narratives form and evolve, influencing public opinion. Identifying and analyzing these narratives, particularly when they compete across different political ideologies, is crucial for understanding the dynamics of modern political communication. This paper presents an unsupervised framework for identifying and characterizing competing narratives in political discourse on social media, focusing on German politicians' tweets. The framework employs a multi-stage pipeline that integrates natural lan
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T08:10:33.000Z
First collected: 2026-09-20T19:12:12.556Z. This is not the publication date.