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

@inproceedings{PreotiucPietro2015StudyingUI,
  title={Studying User Income through Language, Behaviour and Affect in Social Media},
  author={Daniel Preotiuc-Pietro and Svitlana Volkova and Vasileios Lampos and Yoram Bachrach and Nikolaos Aletras and Lidia A. Braunstein},
  booktitle={PloS one},
  year={2015}
}
Automatically inferring user demographics from social media posts is useful for both social science research and a range of downstream applications in marketing and politics. We present the first extensive study where user behaviour on Twitter is used to build a predictive model of income. We apply non-linear methods for regression, i.e. Gaussian Processes… CONTINUE READING

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