M. Danina, N. Kiselnikova, E. Kuminskaya, P. Grešková
{"title":"预防数字平台和社交媒体抑郁的方法","authors":"M. Danina, N. Kiselnikova, E. Kuminskaya, P. Grešková","doi":"10.17759/cpse.2019080306","DOIUrl":null,"url":null,"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.","PeriodicalId":344078,"journal":{"name":"Клиническая и специальная психология","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methods for Preventing Depression on Digital Platforms and in Social Media\",\"authors\":\"M. Danina, N. Kiselnikova, E. Kuminskaya, P. Grešková\",\"doi\":\"10.17759/cpse.2019080306\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":344078,\"journal\":{\"name\":\"Клиническая и специальная психология\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Клиническая и специальная психология\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17759/cpse.2019080306\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Клиническая и специальная психология","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17759/cpse.2019080306","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Methods for Preventing Depression on Digital Platforms and in Social Media
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.