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Possibilities of Predicting a Person's Substance Use Behaviour and Mental Health Through Social Media in a COVID-19 Crisis Context

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dc.contributor Казанский федеральный университет
dc.contributor.author Konstantinov Vsevolod Valentinovich
dc.contributor.author Ustin Pavel Nikolaevich
dc.contributor.author Popov Leonid Mihajlovich
dc.date.accessioned 2023-12-13T07:40:43Z
dc.date.available 2023-12-13T07:40:43Z
dc.date.issued 2023
dc.identifier.citation Konstantinov V, Ustin P, Popov L. Possibilities of Predicting a Person's Substance Use Behaviour and Mental Health Through Social Media in a COVID-19 Crisis Context / V. Konstantinov, P. Ustin, L. Popov // OBM Integrative and Complementary Medicine. - 2023. - 8(4). - p. 049.- [10 p.].
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/177567
dc.description.abstract The negative psychological consequences of the COVID-19 pandemic and the forced isolation of a large proportion of people worldwide have demonstrated the need to develop ways and technologies to reduce the effects of sudden threats of this type. The basis of any practical work to minimize the negative psychological consequences of the COVID-19 pandemic associated with substance use is the monitoring and diagnosis of the psychological resources of the individual. The article aims to show the possibilities of predicting the behavior of an individual through the content analysis of posts and reposts of their profile on the social network VKontakte on the example of the propensity to use psychoactive substances and to substantiate the possibilities of optimizing and automating such prediction through the use of category markers. Content analysis was carried out by latent semantic analysis of texts extracted from posts and reposts of VKontakte social network users with subsequent content analysis through selecting markers - category words. As a result, a categorical grid was built, which increases the efficiency of content analysis of posts and reposts of users and is suitable for further automation of such research by machine learning methods.
dc.language.iso en
dc.relation.ispartofseries OBM Integrative and Complementary Medicine
dc.rights только для КФУ
dc.subject COVID-19; social networks; predictors; qualitative analysis; success; personal profile; substance use
dc.subject.other Психология
dc.title Possibilities of Predicting a Person's Substance Use Behaviour and Mental Health Through Social Media in a COVID-19 Crisis Context
dc.type Article
dc.contributor.org Институт психологии и образования
dc.description.pages 1-10
dc.relation.ispartofseries-issue 4
dc.relation.ispartofseries-volume 8
dc.pub-id 292452
dc.identifier.doi 10.21926/obm.icm.2304049


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