Elite Proxies, Algorithmic Bottlenecks, and Multi-Platform Information Cascades in the 2026 Iran War

Abstract

As high-stakes executive crisis communication shifts into fragmented digital ecosystems, unmediated narratives increasingly originate within closed-broadcast enclaves before diffusing into structurally distinct open networks. Yet the mechanisms governing cross-platform information migration remain under-theorized, underscoring the need for systematic computational analysis. This study tracks the transformation of President Trump's statements during the 2026 Iran War as they move from Truth Social into X-Twitter and Bluesky. Using a Metric-to-Semantic-Linkage framework and a high-throughput dataset of 9,891 temporally aligned public responses, we examine how divergent platform architectures shape the downstream vernacular of geopolitical conflict. The results reveal pronounced behavioral divergence driven by sociotechnical affordances. On X-Twitter, discourse is dominated by structural information bottlenecks: viral retweet cascades from elite proxy nodes compress lexical diversity and centralize interpretive framing, with a single cascade accounting for 55.8 percent of the sub-corpus. In contrast, the decentralized Bluesky AT Protocol supports distributed, multi-vocal commentary marked by analytical detachment and proportional attention across crisis events. These patterns arise not from architectural determinism alone but from the interaction between platform affordances and localized user demographics. By operationalizing the decoupling of macro-engagement metrics from downstream semantic framing, this study advances the case for multi-platform comparative designs in computational political communication.