Department of Psychology, University of Toronto.
Psychol Sci. 2021 Jan;32(1):14-26. doi: 10.1177/0956797620960397. Epub 2020 Dec 11.
We used a distributed-language model to examine the moral language employed by U.S. political elites. In Study 1, we analyzed 687,360 Twitter messages (tweets) posted by accounts belonging to Democratic and Republican members of Congress from 2016 to 2018. In Study 2, we analyzed 2,630,688 speeches given on the floor of the House and Senate from 1981 to 2017. We found that partisan differences in moral-language use shifted over time as the parties gained or lost political power. Overall, lower political power was associated with greater use of moral language for both Democrats and Republicans. On Twitter, Democrats used more moral language in the period after Donald Trump won the 2016 presidential election. In Congressional transcripts, both Democrats and Republicans used more of most kinds of moral language when they were in the minority.
我们使用分布式语言模型来考察美国政治精英使用的道德语言。在研究 1 中，我们分析了 2016 年至 2018 年期间，属于国会中民主党和共和党成员的账户发布的 687,360 条 Twitter 消息（推文）。在研究 2 中，我们分析了 1981 年至 2017 年期间在众议院和参议院发表的 2,630,688 次演讲。我们发现，随着党派获得或失去政治权力，党派间在道德语言使用上的差异会随时间发生变化。总体而言，政治权力越低，无论是民主党还是共和党，使用道德语言的频率就越高。在 Twitter 上，自唐纳德·特朗普赢得 2016 年总统大选以来，民主党人在使用更多的道德语言。在国会记录中，当民主党和共和党处于少数派时，他们使用了更多种类的道德语言。
