Methods for Preventing Depression on Digital Platforms and in Social Media
Author(s) -
М.М. Данина,
Natalia Kiselnikova,
E.A. Kuminskaya,
E.V. Lavrova,
P.A. Greskova
Publication year - 2019
Publication title -
clinical psychology and special education
Language(s) - English
Resource type - Journals
ISSN - 2304-0394
DOI - 10.17759/cpse.2019080306
Subject(s) - depression (economics) , social media , internet privacy , mental health , digital media , population , computer science , psychology , data science , psychiatry , medicine , world wide web , environmental health , economics , macroeconomics
The prevalence of depression among the population estimated at 8-12%. The World Health Organization admits that the existing help system is not sufficiently successful in dealing with depression, and gives priority to online methods – accessible and anonymous. So it can be used by a large number of people and can help to overcome the problem of stigmatization of people with depression. In the article current trends in using online diagnostics tools (mobile applications and gadgets) are discussed and detection of groups with depression risk in social media digital footprints are analyzed. The prospect of research consists in studying the mechanisms and identifying specific components of programs related to the preventive effect, as well as the possibilities of using online methods to work with other mental disorders.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom