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arXiv · 2505.16274

Multimodal AI-based visualization of strategic leaders' emotional dynamics: a deep behavioral analysis of Trump's trade war discourse

Wei Meng
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Abstract

This study investigates the emotional rhythms and behavioral mechanisms of dominant political leaders in strategic decision-making. Using the Trump administration's 125 percent tariff hike on China as a case, it adopts a Multimodal Cognitive Behavioral Modeling framework. This includes micro-expression tracking, acoustic intonation analysis, semantic flow modeling, cognitive load simulation, and strategic behavior mapping to construct a full-cycle simulation of emotion, motivation, and output. Results reveal that Trump's decisions are not driven by rational deduction, but emerge from dominance-coherence rhythms. A six-axis National Strategic Tempo Intervention Framework is proposed to support anticipatory policy modeling.

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Wei Meng. 2025-05-22. Multimodal AI-based visualization of strategic leaders' emotional dynamics: a deep behavioral analysis of Trump's trade war discourse. https://arxiv.org/abs/2505.16274

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