简化?

K. Benoit, Kevin Munger, A. Spirling
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引用次数: 4

摘要

评论人士和一些政治学者声称,他们观察到政治语言的复杂程度出现了“下降”,导致人们对民主审议、知识、政策设计和实施的质量感到焦虑。这项工作主要集中在总统的国情咨文演讲上。使用文本复杂性的定量指标,我们测量了自1790年以来该和其他关键政治语料库的趋势,包括最高法院的裁决、国会记录和总统行政命令。为了吸取比较的教训,我们还研究了英国的政治文本,以党的广播和宣言的形式。我们不仅为所谓的不断简化国情咨文语料库蒙上了阴影,还表明这种趋势在其他形式的精英政治交流中并不明显,包括总统的交流。最后,我们认为,文体上的转变——而不是明显的实质性转变——向短句的转变,推动了我们在传统的政治复杂性衡量标准中看到的许多随时间变化。*为2016年10月28-29日在普林斯顿大学举行的ssrc资助的“民主的焦虑”研讨会所产生的一本书准备的章节。我们感谢伯特·门罗和在场的其他同事提供的非常有益的意见。伦敦经济学院定量社会研究方法教授。kbenoit@lse.ac.uk。纽约大学政治系博士研究生。km2713@nyu.edu。§纽约大学政治与数据科学副教授。arthur.spirling@nyu.edu
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dumbing Down?
Commentators and some political scholars claim to have observed a “dumbing down” of the level of sophistication of political language, leading to anxiety over the quality of democratic deliberation, knowledge, and policy design and implementation. This work typically focuses on the President’s State of the Union addresses. Using quantitative indicators of textual complexity, we measure trends since 1790 in that and other key political corpora, including rulings of the Supreme Court, the Congressional Record, and Presidential executive orders. To draw comparative lessons,we also study political texts from the United Kingdom, in the form of party broadcasts and manifestos. Not only do we cast shade on the supposed relentless simplification of the State of the Union corpus, we show that this trend is not evident in other forms of elite political communication, including presidential ones. Finally, we argue that a stylistic— rather than an obviously substantive—shift towards shorter sentences is driving much of the over-time variation we see in traditional measures of political sophistication. ∗Prepared as a chapter for a book arising from the SSRC-funded “Anxieties of Democracy” workshop, held at Princeton University, 28-29 October 2016. We are grateful to Burt Monroe and other colleagues present for their very helpful comments. †Professor of Quantitative Social Research Methods, London School of Economics. kbenoit@lse.ac.uk. ‡PhD Candidate, Department of Politics, New York University. km2713@nyu.edu. §Associate Professor of Politics and Data Science, New York University. arthur.spirling@nyu.edu
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