The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place.
We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words...
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Public Library of Science (PLoS)
2013
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oai:doaj.org-article:3dc2f4e369bb460d8337c0d57b65548f2021-11-18T07:43:56ZThe geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place.1932-620310.1371/journal.pone.0064417https://doaj.org/article/3dc2f4e369bb460d8337c0d57b65548f2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23734200/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words generated in 2011 on the social network service Twitter and (2) annually-surveyed characteristics of all 50 states and close to 400 urban populations. Among many results, we generate taxonomies of states and cities based on their similarities in word use; estimate the happiness levels of states and cities; correlate highly-resolved demographic characteristics with happiness levels; and connect word choice and message length with urban characteristics such as education levels and obesity rates. Our results show how social media may potentially be used to estimate real-time levels and changes in population-scale measures such as obesity rates.Lewis MitchellMorgan R FrankKameron Decker HarrisPeter Sheridan DoddsChristopher M DanforthPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 5, p e64417 (2013) |
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DOAJ |
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DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
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Medicine R Science Q Lewis Mitchell Morgan R Frank Kameron Decker Harris Peter Sheridan Dodds Christopher M Danforth The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. |
| description |
We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words generated in 2011 on the social network service Twitter and (2) annually-surveyed characteristics of all 50 states and close to 400 urban populations. Among many results, we generate taxonomies of states and cities based on their similarities in word use; estimate the happiness levels of states and cities; correlate highly-resolved demographic characteristics with happiness levels; and connect word choice and message length with urban characteristics such as education levels and obesity rates. Our results show how social media may potentially be used to estimate real-time levels and changes in population-scale measures such as obesity rates. |
| format |
article |
| author |
Lewis Mitchell Morgan R Frank Kameron Decker Harris Peter Sheridan Dodds Christopher M Danforth |
| author_facet |
Lewis Mitchell Morgan R Frank Kameron Decker Harris Peter Sheridan Dodds Christopher M Danforth |
| author_sort |
Lewis Mitchell |
| title |
The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. |
| title_short |
The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. |
| title_full |
The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. |
| title_fullStr |
The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. |
| title_full_unstemmed |
The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. |
| title_sort |
geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2013 |
| url |
https://doaj.org/article/3dc2f4e369bb460d8337c0d57b65548f |
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