Social media, big data, and mental health: Current advances and ethical implications

Mike Conway, Daniel O'Connor

Research output: Contribution to journalReview articlepeer-review

101 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)77-82
Number of pages6
JournalCurrent Opinion in Psychology
Volume9
DOIs
StatePublished - Jun 1 2016
Externally publishedYes

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