TY - JOUR
T1 - Social media, big data, and mental health
T2 - Current advances and ethical implications
AU - Conway, Mike
AU - O'Connor, Daniel
N1 - Funding Information:
We would like to thank Nicholas Perry (Department of Psychology, University of Utah) and Danielle Mowery (Department of Biomedical Informatics, University of Utah) for their comments on an early draft of this work. Author Mike Conway was partially supported by a grant from the National Library of Medicine ( R00LM011393 ). Daniel O’Connor contributed to this article in a personal capacity; the views expressed are his own and do not necessarily represent the views of the Wellcome Trust.
Publisher Copyright:
© 2016 Elsevier Ltd.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Mental health (including substance abuse) is the fifth greatest contributor to the global burden of disease, with an economic cost estimated to be US $2.5 trillion in 2010, and expected to double by 2030. Developing information systems to support and strengthen population-level mental health monitoring forms a core part of the World Health Organization's Comprehensive Action Plan 2013-2020. In this paper, we review recent work that utilizes social media 'big data' in conjunction with associated technologies like natural language processing and machine learning to address pressing problems in population-level mental health surveillance and research, focusing both on technological advances and core ethical challenges.
AB - Mental health (including substance abuse) is the fifth greatest contributor to the global burden of disease, with an economic cost estimated to be US $2.5 trillion in 2010, and expected to double by 2030. Developing information systems to support and strengthen population-level mental health monitoring forms a core part of the World Health Organization's Comprehensive Action Plan 2013-2020. In this paper, we review recent work that utilizes social media 'big data' in conjunction with associated technologies like natural language processing and machine learning to address pressing problems in population-level mental health surveillance and research, focusing both on technological advances and core ethical challenges.
UR - http://www.scopus.com/inward/record.url?scp=84960351488&partnerID=8YFLogxK
U2 - 10.1016/j.copsyc.2016.01.004
DO - 10.1016/j.copsyc.2016.01.004
M3 - Review article
AN - SCOPUS:84960351488
VL - 9
SP - 77
EP - 82
JO - Current Opinion in Psychology
JF - Current Opinion in Psychology
SN - 2352-250X
ER -