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dc.contributor.authorDodds, Peter Sheridan
dc.contributor.authorClark, Eric M.
dc.contributor.authorDesu, Suma
dc.contributor.authorReagan, Andrew J.
dc.contributor.authorWilliams, Jake Ryland
dc.contributor.authorMitchell, Lewis
dc.contributor.authorHarris, Kameron Decker
dc.contributor.authorKloumann, Isabel M.
dc.contributor.authorBagrow, James P.
dc.contributor.authorMegerdoomian, Karine
dc.contributor.authorMcMahon, Matthew T.
dc.contributor.authorTivnan, Brian F.
dc.contributor.authorDanforth, Christopher M.
dc.contributor.authorFrank, Morgan Ryan
dc.date.accessioned2015-08-05T14:58:23Z
dc.date.available2015-08-05T14:58:23Z
dc.date.issued2015-02
dc.date.submitted2014-06
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/98030
dc.description.abstractUsing 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.en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1411678112en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceNational Academy of Sciences (U.S.)en_US
dc.titleHuman language reveals a universal positivity biasen_US
dc.typeArticleen_US
dc.identifier.citationDodds, Peter Sheridan, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, et al. “Human Language Reveals a Universal Positivity Bias.” Proc Natl Acad Sci USA 112, no. 8 (February 9, 2015): 2389–2394.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Computational Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.mitauthorDesu, Sumaen_US
dc.contributor.mitauthorFrank, Morgan Ryanen_US
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsDodds, 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.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9487-9359
mit.licensePUBLISHER_POLICYen_US


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