Quantifying the Uniqueness and Divisiveness of Presidential Discourse

Karen Zhou, Alexander A. Meitus, Milo Chase, Grace Wang, Anne Mykland +2 more
1/2/2024
cs.CLcs.AIcs.CY

No official code found. Best implementation: ChicagoHAI/quantifying-unique-and-divisive-speech (0 stars, MIT, last commit 2025-08-14).

Abstract

Do American presidents speak discernibly different from each other? If so, in what ways? And are these differences confined to any single medium of communication? To investigate these questions, this paper introduces a novel metric of uniqueness based on large language models, develops a new lexicon for divisive speech, and presents a framework for assessing the distinctive ways in which presidents speak about their political opponents. Applying these tools to a variety of corpora of presidential speeches, we find considerable evidence that Donald Trump's speech patterns diverge from those of all major party nominees for the presidency in recent history. Trump is significantly more distinctive than his fellow Republicans, whose uniqueness values appear closer to those of the Democrats. Contributing to these differences is Trump's employment of divisive and antagonistic language, particularly when targeting his political opponents. These differences hold across a variety of measurement strategies, arise on both the campaign trail and in official presidential addresses, and do not appear to be an artifact of secular changes in presidential communications.

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MIT

Data and code for the paper, "Quantifying the Uniqueness and Divisiveness of Presidential Discourse"

00Shell, PythonMay 19, 20241 years agoMIT

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Cite this paper

@article{zhou2024quantifying,
  title  = {Quantifying the Uniqueness and Divisiveness of Presidential Discourse},
  author = {Karen Zhou and Alexander A. Meitus and Milo Chase and Grace Wang and Anne Mykland and William Howell and Chenhao Tan},
  year   = {2024},
  eprint = {2401.01405},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.01405v2}
}

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