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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23734200/pdf/?tool=EBI |
| _version_ | 1828897344818511872 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-13T14:55:57Z |
| format | Article |
| id | doaj.art-3dc2f4e369bb460d8337c0d57b65548f |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T14:55:57Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-3dc2f4e369bb460d8337c0d57b65548f2022-12-21T23:41:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0185e6441710.1371/journal.pone.0064417The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place.Lewis MitchellMorgan R FrankKameron Decker HarrisPeter Sheridan DoddsChristopher M DanforthWe 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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23734200/pdf/?tool=EBI |
| spellingShingle | 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. PLoS ONE |
| title | 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_short | 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 |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23734200/pdf/?tool=EBI |
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