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Human language reveals a universal positivity bias
Bibliografi
Author:
Dodds, Peter Sheridan
;
Clark, Eric M.
;
Desu, Suma
;
Frank, Morgan R.
;
Reagan, Andrew J.
;
Williams, Jake Ryland
;
Mitchell, Lewis
;
Harris, Kameron Decker
;
Kloumann, Isabel M.
;
Bagrow, James P.
;
Megerdoomian, Karine
;
McMahon, Matthew T.
;
Tivnan, Brian F.
;
Danforth, Christopher M.
Topik:
Language
;
Social psychology
;
Happiness
;
Positivity
Bahasa:
(EN )
Tahun Terbit:
2015
Jenis:
Article - diterbitkan di jurnal ilmiah internasional
Fulltext:
Human language reveals a universal positivity bias.pdf
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Abstract
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 (i) the words of natural human language possess a universal positivity bias, (ii) the estimated emotional content of words is consistent between languages under translation, and (iii) this positivity bias is strongly independent of frequency of word use. Alongside these general regularities, we describe interlanguage variations in the emotional spectrum of languages that 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.
Kajian editorial
Article from journal : Psychological and Cognitive Sciences, Vol. 112, No. 8, 2015
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