@inproceedings{wolohan-2020-estimating,
    title = "Estimating the effect of {COVID-19} on mental health: Linguistic indicators of depression during a global pandemic",
    author = "Wolohan, JT",
    editor = "Verspoor, Karin  and
      Cohen, Kevin Bretonnel  and
      Dredze, Mark  and
      Ferrara, Emilio  and
      May, Jonathan  and
      Munro, Robert  and
      Paris, Cecile  and
      Wallace, Byron",
    booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID-19} at {ACL} 2020",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.nlpcovid19-acl.12/",
    abstract = "This preliminary analysis uses a deep LSTM neural network with fastText embeddings to predict population rates of depression on Reddit in order to estimate the effect of COVID-19 on mental health. We find that year over year, depression rates on Reddit are up 50{\%} , suggesting a 15-million person increase in the number of depressed Americans and a {\$}7.5 billion increase in depression related spending. This finding suggests that utility in NLP approaches to longitudinal public-health surveillance."
}