TY - GEN
T1 - Characterizing geographic variation in well-being using tweets
AU - Schwartz, H. Andrew
AU - Eichstaedt, Johannes C.
AU - Kern, Margaret L.
AU - Dziurzynski, Lukasz
AU - Agrawal, Megha
AU - Park, Gregory J.
AU - Lakshmikanth, Shrinidhi K.
AU - Jha, Sneha
AU - Seligman, Martin E.P.
AU - Ungar, Lyle
AU - Lucas, Richard E.
PY - 2013
Y1 - 2013
N2 - The language used in tweets from 1,300 different US counties was found to be predictive of the subjective well-being of people living in those counties as measured by representative surveys. Topics, sets of co-occurring words derived from the tweets using LDA, improved accuracy in predicting life satisfaction over and above standard demographic and socio-economic controls (age, gender, ethnicity, income, and education). The LDA topics provide a greater behavioural and conceptual resolution into life satisfaction than the broad socio-economic and demographic variables. For example, tied in with the psychological literature, words relating to outdoor activities, spiritual meaning, exercise, and good jobs correlate with increased life satisfaction, while words signifying disengagement like 'bored' and 'tired' show a negative association.
AB - The language used in tweets from 1,300 different US counties was found to be predictive of the subjective well-being of people living in those counties as measured by representative surveys. Topics, sets of co-occurring words derived from the tweets using LDA, improved accuracy in predicting life satisfaction over and above standard demographic and socio-economic controls (age, gender, ethnicity, income, and education). The LDA topics provide a greater behavioural and conceptual resolution into life satisfaction than the broad socio-economic and demographic variables. For example, tied in with the psychological literature, words relating to outdoor activities, spiritual meaning, exercise, and good jobs correlate with increased life satisfaction, while words signifying disengagement like 'bored' and 'tired' show a negative association.
UR - https://www.scopus.com/pages/publications/84900426328
M3 - Conference contribution
AN - SCOPUS:84900426328
SN - 9781577356103
T3 - Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013
SP - 583
EP - 591
BT - Proceedings of the 7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013
PB - Association for the Advancement of Artificial Intelligence
T2 - 7th International AAAI Conference on Weblogs and Social Media, ICWSM 2013
Y2 - 8 July 2013 through 11 July 2013
ER -