人类语言揭示了普遍的积极偏见
Human language reveals a universal positivity bias
摘要：
通过对10种语言的24个语料库中的10万个词汇的评估，我们发现：（1）人类自然语言的词汇具有普遍的积极性偏向;（2）翻译中的词汇情感内容在不同语言之间是一致的;（3）这种积极偏向与词汇使用频率无关。除了这些一般的语言，我们描述语言的情感谱，使我们能够排名语料库中的语言间的变化。我们还展示了我们的单词评估如何用于构建类似物理的工具，用于实时和离线测量大规模文本的情感内容。
英文摘要：
Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (1) the words of natural human language possess a universal positivity bias; (2) the estimated emotional content of words is consistent between languages under translation; and (3) this positivity bias is strongly independent of frequency of word usage. Alongside these general regularities, we describe inter-language variations in the emotional spectrum of languages which allow us to rank corpora. We also show how our word evaluations can be used to construct physical-like instruments for both real-time and offline measurement of the emotional content of large-scale texts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
