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individual and community WWBP
Transcript of individual and community WWBP
Inferring individual and county level traits from social media
Gender, Age & Personality
Explicit Language Warning
The Language of (less) Heart Disease
Twitter Predicting Heart Disease
World-Well Being Project | wwbp.org
typical life stage words
classes of emotions
I / we
Personality X Gender
Language of emotionally stable
counties with Lower Suicide Mortality Rates
Language reveals demographics, personality
Also psychopathy, emotion, SES, empathy, political orientation, happiness, depression, health, disease
Language models generalize
from Facebook to Twitter
from individuals to counties
Language allows data-driven hypothesis generation
As well as hypothesis testing
Social media biases can be handled!
Reduced Heart Disease
Increased Heart Disease
Emotionally stable individuals
Counties with less suicide
H. Andrew Schwartz et al. 2013. Characterizing Geographic Variation in Well-Being using Tweets
Health & Personality
University of Pennsylvania
Community SWL and Heart Disease
Twitter predicts heart disease
Natural Language Processing
What people say
IE, question answering, …
How people say it
Personality, gender, age variations …