@inproceedings{harrigian-etal-2021-state,
    title = "On the State of Social Media Data for Mental Health Research",
    author = "Harrigian, Keith  and
      Aguirre, Carlos  and
      Dredze, Mark",
    booktitle = "Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.clpsych-1.2",
    doi = "10.18653/v1/2021.clpsych-1.2",
    pages = "15--24",
    abstract = "Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the domain remains bounded by the availability of adequate data. Prior systematic reviews have not necessarily made it possible to measure the degree to which data-related challenges have affected research progress. In this paper, we offer an analysis specifically on the state of social media data that exists for conducting mental health research. We do so by introducing an open-source directory of mental health datasets, annotated using a standardized schema to facilitate meta-analysis.",
}