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pmid: 23527080
pmc: PMC3604170
We report here trends in the usage of "mood" words, that is, words carrying emotional content, in 20th century English language books, using the data set provided by Google that includes word frequencies in roughly 4% of all books published up to the year 2008. We find evidence for distinct historical periods of positive and negative moods, underlain by a general decrease in the use of emotion-related words through time. Finally, we show that, in books, American English has become decidedly more "emotional" than British English in the last half-century, as a part of a more general increase of the stylistic divergence between the two variants of English language.
RANDOM DRIFT, Other Social Sciences not elsewhere specified, Peace and Conflict Studies, Science, Books, Freds- och konfliktforskning, Q, Emotions, DIVERSITY, R, LANGUAGE, SCIENCE, History, 20th Century, 420, 400, Affect, CULTURAL-EVOLUTION, Medicine, Humans, RATES, Övrig annan samhällsvetenskap, Research Article, Language
RANDOM DRIFT, Other Social Sciences not elsewhere specified, Peace and Conflict Studies, Science, Books, Freds- och konfliktforskning, Q, Emotions, DIVERSITY, R, LANGUAGE, SCIENCE, History, 20th Century, 420, 400, Affect, CULTURAL-EVOLUTION, Medicine, Humans, RATES, Övrig annan samhällsvetenskap, Research Article, Language
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 95 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |