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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.01405 |
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| _version_ | 1866912498515443712 |
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| author | Zhou, Karen Meitus, Alexander A. Chase, Milo Wang, Grace Mykland, Anne Howell, William Tan, Chenhao |
| author_facet | Zhou, Karen Meitus, Alexander A. Chase, Milo Wang, Grace Mykland, Anne Howell, William Tan, Chenhao |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01405 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Quantifying the Uniqueness and Divisiveness of Presidential Discourse Zhou, Karen Meitus, Alexander A. Chase, Milo Wang, Grace Mykland, Anne Howell, William Tan, Chenhao Computation and Language Artificial Intelligence Computers and Society Social and Information Networks 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. |
| title | Quantifying the Uniqueness and Divisiveness of Presidential Discourse |
| topic | Computation and Language Artificial Intelligence Computers and Society Social and Information Networks |
| url | https://arxiv.org/abs/2401.01405 |