A new arXiv paper analyzes political narratives during the 2024 Moldovan presidential election using data from X, Facebook, and Reddit. The study employed large language models for multilingual stance detection and network analysis to understand narrative amplification and peer influence. Findings suggest that online amplification and peer exposure reinforce political narratives, particularly concerning European integration and Russia. AI
IMPACT Demonstrates the application of LLMs and network analysis for understanding political discourse and influence in complex geopolitical contexts.
RANK_REASON Academic paper published on arXiv detailing methodology and findings. [lever_c_demoted from research: ic=1 ai=1.0]
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