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Mining social networks to improve suicide prevention: A scoping review
Author(s) -
LopezCastroman Jorge,
Moulahi Bilel,
Azé Jérôme,
Bringay Sandra,
Deninotti Julie,
Guillaume Sebastien,
BacaGarcia Enrique
Publication year - 2020
Publication title -
journal of neuroscience research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.72
H-Index - 160
eISSN - 1097-4547
pISSN - 0360-4012
DOI - 10.1002/jnr.24404
Subject(s) - suicidal ideation , the internet , psychological intervention , identification (biology) , social media , addiction , psychology , distress , ideation , internet privacy , suicide prevention , applied psychology , poison control , computer science , medicine , clinical psychology , world wide web , psychiatry , medical emergency , botany , biology , cognitive science
Attention about the risks of online social networks (SNs) has been called upon reports describing their use to express emotional distress and suicidal ideation or plans. On the Internet, cyberbullying, suicide pacts, Internet addiction, and “extreme” communities seem to increase suicidal behavior (SB). In this study, the scientific literature about SBs and SNs was narratively reviewed. Some authors focus on detecting at‐risk populations through data mining, identification of risks factors, and web activity patterns. Others describe prevention practices on the Internet, such as websites, screening, and applications. Targeted interventions through SNs are also contemplated when suicidal ideation is present. Multiple predictive models should be defined, implemented, tested, and combined in order to deal with the risk of SB through an effective decision support system. This endeavor might require a reorganization of care for SNs users presenting suicidal ideation.