Studying User Income through Language, Behaviour and Affect in Social Media

Computer-based personality judgments are more accurate than those made by humans

(2015) Wu Youyou et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data

(2015) Luke Sloan et al.   PLoS One

Diffusion of Lexical Change in Social Media

(2014) Jacob Eisenstein et al.   PLoS One

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

(2013) H. Andrew Schwartz et al.   PLoS One

Twitter mood predicts the stock market

(2011) Johan Bollen et al.   Journal of Computational Science

High income improves evaluation of life but not emotional well-being

(2010) D. Kahneman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA