Summary of Quantifying the Uniqueness Of Donald Trump in Presidential Discourse, by Karen Zhou et al.
Quantifying the Uniqueness of Donald Trump in Presidential Discourse
by Karen Zhou, Alexander A. Meitus, Milo Chase, Grace Wang, Anne Mykland, William Howell, Chenhao Tan
First submitted to arxiv on: 2 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Social and Information Networks (cs.SI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper develops novel metrics and tools to analyze the uniqueness of language patterns in political speeches, specifically focusing on Donald Trump’s presidency. The authors introduce a large language model-based metric for measuring linguistic distinctiveness and create a lexicon for divisive speech. They apply these tools to corpora of presidential speeches, finding that Trump’s language patterns diverge significantly from those of other major party nominees. Notably, Trump employs more divisive and antagonistic language targeting his opponents and exhibits repetition for emphasis. The results hold across different measurement strategies and both campaign and official presidential addresses. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how Donald Trump talks compared to other presidents. It creates new tools to analyze speeches and finds that Trump’s way of speaking is very different from others. He uses more negative words and repeats things a lot. This is true for both his speeches while he was campaigning and once he became president. The researchers used big computer models to look at lots of speeches, including those of other politicians. |
Keywords
» Artificial intelligence » Large language model
