Details

Autor(en) / Beteiligte

• Mitchell, Lewis
• Frank, Morgan R
• Harris, Kameron Decker
• Dodds, Peter Sheridan
• Danforth, Christopher M
• Sánchez, Angel

Titel

The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place

Ist Teil von

• PloS one, 2013-05, Vol.8 (5), p.e64417-e64417

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2013

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.