AI RESEARCH
Detecting Synthetic Political Narratives in Cross-Platform Social Media Discourse
arXiv CS.CL
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ArXi:2605.21540v1 Announce Type: cross The proliferation of large language models has We apply the framework to a corpus of 353,223 records spanning six geopolitical event windows collected from six Telegram channels and nine Reddit communities (2023--2026). Results show that IntelSlava exhibits the lowest lexical diversity (MATTR 0.52--0.54), the highest burstiness (B=+0.48 to +0.73), and the highest rhetorical overlap with peer channels (Jaccard 0.12), ranking first in the composite SNC(C) on four of six event windows (SNC 0.45--0.60.