量化总统话语的独特性和分裂性
Karen Zhou1, Alexander A Meitus1,2, Milo Chase1
1Department of Computer Science, The University of Chicago, 5730 S Ellis Ave, Chicago, IL 60637, USA.
PNAS nexus
|October 23, 2024
概括
唐纳德·特朗普 唐纳德·特朗普是美国总统.
科学领域:
- 计算语言学 计算语言学
- 政治沟通分析政治沟通分析
- 自然语言处理自然语言处理.
背景情况:
- 总统的沟通风格各不相同,但对独特性的定量分析是有限的.
- 以前的研究通常依赖于定性评估或更简单的语言指标.
- 了解独特的语音模式对于政治学和沟通研究至关重要.
研究的目的:
- 开发和应用新的指标来量化总统演讲的独特性.
- 分析唐纳德·特朗普的沟通风格与最近的其他总统候选人有何不同.
- 识别特定的语言特征,如分裂性语言,有助于语音的独特性.
主要方法:
- 引入一个新的独特度量,利用大型语言模型 (LLM).
- 开发一个专门的词汇来识别分裂和敌对的言论.
- 将这些工具应用于广泛的总统竞选活动和官方演讲.
主要成果:
- 唐纳德·特朗普的演讲模式与其他主要政党总统候选人有很大的分歧.
- 特朗普的独特性超过了他的共和党同行,他们的风格更接近民主党人.
- 分裂和敌对的语言,特别是对对手的语言,是特朗普独特的沟通风格的关键因素.
结论:
- 总统演讲的独特性可以使用先进的NLP技术进行定量测量.
- 与最近的政治人物相比,唐纳德特朗普表现出一种非常独特和分裂的沟通风格.
- 这些发现强调了语言策略在塑造政治话语和总统沟通中的作用.
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