@InProceedings{mikal-hurst-conway:2017:CLPsych,
  author    = {Mikal, Jude  and  Hurst, Samantha  and  Conway, Mike},
  title     = {Investigating Patient Attitudes Towards the use of Social Media Data to Augment Depression Diagnosis and Treatment: a Qualitative Study},
  booktitle = {Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology --- From Linguistic Signal to Clinical Reality},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, BC},
  publisher = {Association for Computational Linguistics},
  pages     = {41--47},
  abstract  = {In this paper, we use qualitative research methods to investigate the attitudes
	of social media users towards the (opt-in) integration of social media data
	with routine mental health care and diagnosis. Our investigation was based on
	secondary analysis of a series of five focus groups with Twitter users,
	including three groups consisting of participants with a self-reported history
	of depression, and two groups consisting of participants without a self
	reported history of depression. Our results indicate that, overall, research
	participants were enthusiastic about the possibility of using social media (in
	conjunction with automated Natural Language Processing algorithms) for mood
	tracking under the supervision of a mental health practitioner. However, for at
	least some participants, there was skepticism related to how well social media
	represents the mental health of users, and hence its usefulness in the clinical
	context.},
  url       = {http://www.aclweb.org/anthology/W17-3105}
}