The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place
Abstrak
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.
Topik & Kata Kunci
Penulis (5)
Lewis Mitchell
K. Harris
M. Frank
P. Dodds
C. Danforth
Akses Cepat
- Tahun Terbit
- 2013
- Bahasa
- en
- Total Sitasi
- 503×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1371/journal.pone.0064417
- Akses
- Open Access ✓