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Clinical Psychology and Special Education

Publisher: Moscow State University of Psychology and Education

ISSN (online): 2304-0394

DOI: http://dx.doi.org/10.17759/cpse

License: CC BY-NC 4.0

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Methods for Preventing Depression on Digital Platforms and in Social Media 79

Danina M.M., PhD in Psychology, Senior researcher of the Laboratory of Counselling Psychology and Psychotherapy, Psychological Institute of Russian Academy of Education, Moscow, Russia, mdanina@yandex.ru
Kiselnikova N.V., PhD in Psychology, Deputy Director on science, head of laboratory of scientific foundations of psychotherapy and counseling Federal state scientific institution "Psychological Institute", Federal state budgetary institution "P. RAO", Moscow, Russia, nv_psy@mail.ru
Kuminskaya E.A., Researcher, Laboratory of Counselling Psychology and Psychotherapy, Psychological Institute of Russian Academy of Education, Moscow, Russia, evgenia.kuminskaya@gmail.com
Greskova P., Student of the Faculty of Psychology, Saint-Petersburg State University, St.Petersburg, Russia, polina.greskova@gmail.com
Abstract
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.

Keywords: depression, online prevention, digital trace analysis, mobile applications, risk groups, social media

Column: Applied research

DOI: http://dx.doi.org/10.17759/cpse.2019080306

Funding

depression, online prevention, digital trace analysis, mobile applications, risk groups, social media

For Reference

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