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This study utilizes facial expression recognition technology to analyze the facial expressions of Trump and Biden during debate videos, aiming to explore the emotional states of both leaders. By employing deep learning algorithms to extract and classify their expressions, this study captures emotional variations and behavioral differences displayed during intense debates. The analysis reveals each leader's emotional response frequency, intensity, and specific affective tendencies, allowing us to infer their emotional style and emotional states in public settings. This technology can be used by candidates to analyze their personal TV debate performance and optimize their expression control. The study provides new insights into the analysis of emotions among politicians during television debates and demonstrates potential applications in facial expression recognition technology in electoral psychology.

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Emotional States and Electoral Insights: Analyzing Political Leaders’ Emotional Styles Through Deep Learning-Based Facial Expression Recognition

  • 会议论文

  • 发表日期：

    2026年

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  • Lei Jiang,
  • Ge Chen,
  • Chuansheng Wang,
  • Junxian Zheng,
  • Shutang Liu

摘要

This study utilizes facial expression recognition technology to analyze the facial expressions of Trump and Biden during debate videos, aiming to explore the emotional states of both leaders. By employing deep learning algorithms to extract and classify their expressions, this study captures emotional variations and behavioral differences displayed during intense debates. The analysis reveals each leader's emotional response frequency, intensity, and specific affective tendencies, allowing us to infer their emotional style and emotional states in public settings. This technology can be used by candidates to analyze their personal TV debate performance and optimize their expression control. The study provides new insights into the analysis of emotions among politicians during television debates and demonstrates potential applications in facial expression recognition technology in electoral psychology.