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dc.contributor.authorLopez-Castroman, Jorge
dc.contributor.authorMoulahi, Bilel
dc.contributor.authorAzé, Jérôme
dc.contributor.authorBringay, Sandra
dc.contributor.authorDeninotti, Julie
dc.contributor.authorGuillaume, Sebastien
dc.contributor.authorBaca-Garcia, Enrique
dc.description.abstractAttention 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.es_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.sourceJournal of Neuroscience Research, 98(4), 616-625es_CL
dc.subjectMood disorderses_CL
dc.subjectNatural language processinges_CL
dc.subjectSocial networkses_CL
dc.subjectSuicidal behaviores_CL
dc.titleMining social networks to improve suicide prevention: a scoping reviewes_CL

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Atribución-NoComercial-SinDerivadas 3.0 Chile
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 Chile