| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2023 |
| Язык | английский |
|
Попов Леонид Михайлович, автор
Устин Павел Николаевич, автор
|
|
Константинов Всеволод Валентинович, автор
|
| Библиографическое описание на языке оригинала |
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. OBM Integrative and Complementary Medicine 2023; 8(4): 049 |
| Аннотация |
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. |
| Ключевые слова |
COVID-19; social networks; predictors; qualitative analysis; success; personal profile; substance use |
| Название журнала |
OBM Integrative and Complementary Medicine
|
| Ссылка для РПД |
http://dspace.kpfu.ru/xmlui/bitstream/handle/net/177567/obm.icm.2304049_Ustin.pdf?sequence=1&isAllowed=y
|
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=292452 |
| Файлы ресурса | |
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|
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Попов Леонид Михайлович |
ru_RU |
| dc.contributor.author |
Устин Павел Николаевич |
ru_RU |
| dc.contributor.author |
Константинов Всеволод Валентинович |
ru_RU |
| dc.date.accessioned |
2023-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2023-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2023 |
ru_RU |
| 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. OBM Integrative and Complementary Medicine 2023; 8(4): 049 |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=292452 |
ru_RU |
| dc.description.abstract |
OBM Integrative and Complementary Medicine |
ru_RU |
| 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. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
|
ru_RU |
| dc.title |
Possibilities of Predicting a Person's Substance Use Behaviour and Mental Health Through Social Media in a COVID-19 Crisis Context |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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