This paper explores the potential of machine learning for recognizing and analysing linguistic markers of hubris in CEO speech. This research is based on three assumptions: hubris is associated with potentially destructive leader behaviours; linguistic utterances are a way of distinguishing between leaders who are likely to exhibit such behaviours; identifying hubris at-a-distance using machine learning techniques provides a reliable, automated and scalable method for the identification and prevention of destructive outcomes emanating from CEO hubris. Using machine learning techniques, we analysed spoken utterances from a sample of hubristic CEOs and compared them with non-hubristic CEOs. We found that machine learning algorithms have the ability to identify automatically hubristic versus non-hubristic speech patterns. One of the main implications of this study is building a foundation for future studies that are interested in the application of machine learning in the fields of hubristic and other forms of destructive leadership, and in the study of the role that language plays in management and organizations more generally. We discuss the implications of automated data extraction and analysis for the prediction of CEOs’, and other employees’, category membership, intentions and behaviours. We offer recommendations for how hubristic and destructive leadership in organizations can be managed and curtailed more effectively, thereby obviating their negative consequences.

中文翻译：

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识别 CEO 傲慢的语言标记：一种机器学习方法

本文探讨了机器学习在识别和分析 CEO 演讲中狂妄自大的语言标记方面的潜力。这项研究基于三个假设：傲慢与潜在的破坏性领导行为有关；语言表达是区分可能表现出此类行为的领导者的一种方式；使用机器学习技术远距离识别傲慢提供了一种可靠、自动化和可扩展的方法，用于识别和预防 CEO 傲慢产生的破坏性结果。使用机器学习技术，我们分析了傲慢 CEO 样本中的口语表达，并将其与非傲慢 CEO 进行了比较。我们发现机器学习算法能够自动识别傲慢与非傲慢的语音模式。这项研究的主要意义之一是为未来的研究奠定基础更普遍。我们讨论了自动数据提取和分析对预测 CEO 和其他员工的类别成员、意图和行为的影响。我们就如何更有效地管理和遏制组织中狂妄和破坏性的领导力提供建议，从而避免其负面后果。以及更广泛地研究语言在管理和组织中所起的作用。我们讨论了自动数据提取和分析对预测 CEO 和其他员工的类别成员、意图和行为的影响。我们就如何更有效地管理和遏制组织中狂妄和破坏性的领导力提供建议，从而避免其负面后果。以及更广泛地研究语言在管理和组织中所起的作用。我们讨论了自动数据提取和分析对预测 CEO 和其他员工的类别成员、意图和行为的影响。我们就如何更有效地管理和遏制组织中狂妄和破坏性的领导力提供建议，从而避免其负面后果。