Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.

Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we examine expressions made on the online, global mi...

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Autores principales:	Peter Sheridan Dodds, Kameron Decker Harris, Isabel M Kloumann, Catherine A Bliss, Christopher M Danforth
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b3549c3e58314ab6a3d234b5cdefc5ab
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spelling	oai:doaj.org-article:b3549c3e58314ab6a3d234b5cdefc5ab2021-11-18T07:32:53ZTemporal patterns of happiness and information in a global social network: hedonometrics and Twitter.1932-620310.1371/journal.pone.0026752https://doaj.org/article/b3549c3e58314ab6a3d234b5cdefc5ab2011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22163266/?tool=EBIhttps://doaj.org/toc/1932-6203Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we examine expressions made on the online, global microblog and social networking service Twitter, uncovering and explaining temporal variations in happiness and information levels over timescales ranging from hours to years. Our data set comprises over 46 billion words contained in nearly 4.6 billion expressions posted over a 33 month span by over 63 million unique users. In measuring happiness, we construct a tunable, real-time, remote-sensing, and non-invasive, text-based hedonometer. In building our metric, made available with this paper, we conducted a survey to obtain happiness evaluations of over 10,000 individual words, representing a tenfold size improvement over similar existing word sets. Rather than being ad hoc, our word list is chosen solely by frequency of usage, and we show how a highly robust and tunable metric can be constructed and defended.Peter Sheridan DoddsKameron Decker HarrisIsabel M KloumannCatherine A BlissChristopher M DanforthPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 12, p e26752 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Peter Sheridan Dodds Kameron Decker Harris Isabel M Kloumann Catherine A Bliss Christopher M Danforth Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.
description	Individual happiness is a fundamental societal metric. Normally measured through self-report, happiness has often been indirectly characterized and overshadowed by more readily quantifiable economic indicators such as gross domestic product. Here, we examine expressions made on the online, global microblog and social networking service Twitter, uncovering and explaining temporal variations in happiness and information levels over timescales ranging from hours to years. Our data set comprises over 46 billion words contained in nearly 4.6 billion expressions posted over a 33 month span by over 63 million unique users. In measuring happiness, we construct a tunable, real-time, remote-sensing, and non-invasive, text-based hedonometer. In building our metric, made available with this paper, we conducted a survey to obtain happiness evaluations of over 10,000 individual words, representing a tenfold size improvement over similar existing word sets. Rather than being ad hoc, our word list is chosen solely by frequency of usage, and we show how a highly robust and tunable metric can be constructed and defended.
format	article
author	Peter Sheridan Dodds Kameron Decker Harris Isabel M Kloumann Catherine A Bliss Christopher M Danforth
author_facet	Peter Sheridan Dodds Kameron Decker Harris Isabel M Kloumann Catherine A Bliss Christopher M Danforth
author_sort	Peter Sheridan Dodds
title	Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.
title_short	Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.
title_full	Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.
title_fullStr	Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.
title_full_unstemmed	Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.
title_sort	temporal patterns of happiness and information in a global social network: hedonometrics and twitter.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/b3549c3e58314ab6a3d234b5cdefc5ab
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Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter.

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