There is a widespread belief that the tone of US political language has become more negative recently, in particular when Donald Trump entered politics. At the same time, there is disagreement as to whether Trump changed or merely continued previous trends. To date, data-driven evidence regarding these questions is scarce, partly due to the difficulty of obtaining a comprehensive, longitudinal record of politicians' utterances. Here we apply psycholinguistic tools to a novel, comprehensive corpus of 24 million quotes from online news attributed to 18,627 US politicians in order to analyze how the tone of US politicians' language evolved between 2008 and 2020. We show that, whereas the frequency of negative emotion words had decreased continuously during Obama's tenure, it suddenly and lastingly increased with the 2016 primary campaigns, by 1.6 pre-campaign standard deviations, or 8% of the pre-campaign mean, in a pattern that emerges across parties. The effect size drops by 40% when omitting Trump's quotes, and by 50% when averaging over speakers rather than quotes, implying that prominent speakers, and Trump in particular, have disproportionately, though not exclusively, contributed to the rise in negative language. This work provides the first large-scale data-driven evidence of a drastic shift toward a more negative political tone following Trump's campaign start as a catalyst, with important implications for the debate about the state of US politics.
翻译:人们广泛认为,美国政治语言的语调最近变得更加消极了,特别是当唐纳德·特朗普进入政治时。 与此同时,对于特朗普是否改变还是仅仅继续以往趋势存在分歧。 到目前为止,关于这些问题的数据驱动证据很少,部分原因是很难获得政治家言论的全面、纵向记录。 我们在这里对18,627名美国政治家的在线新闻引用的2,400万段内容进行了精神语言工具,以分析2008至2020年间美国政治家语言的调子是如何演变的。 与此同时,在奥巴马执政期间,负面情感言词的频率持续下降,但随着2016年的主要竞选活动,其频率突然和持久地增加,增加了1.6个先发制人的标准偏差,即8 %,这是在政党之间出现的一种模式。 忽略特朗普的报价,其影响为40 %, 平均超过演讲者为50 %, 暗示著名演讲者,特别是特朗普的语调的频率尤其低得不成比例,尽管并非完全相反,但随着2016年的主要竞选运动的激烈度变化,导致了大规模政治运动的激烈的激烈的激烈程度。