Predicting Political Ideology from Digital Footprints

@article{Kitchener2022PredictingPI,
  title={Predicting Political Ideology from Digital Footprints},
  author={Michael Kitchener and Nandini Anantharama and S. Angus and Paul A. Raschky},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.00397}
}
This paper proposes a new method to predict individual political ideology from digital footprints on one of the world’s largest online discussion forum. We compiled a unique data set from the online discussion forum reddit that contains information on the political ideology of around 91,000 users as well as records of their comment frequency and the comments’ text corpus in over 190,000 different subforums of interest. Applying a set of statistical learning approaches, we show that information… 
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