Mining social networks to improve suicide prevention: A scoping review

Abstract

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.

Effective buprenorphine use and tapering strategies: Endorsements and insights by people in recovery from opioid use disorder on a Reddit forum

“…Social media provides researchers access to knowledge posted directly by users in near real time. Social media data have been utilized for infectious disease outbreak monitoring (16)(17)(18), adverse drug reaction detection (19,20), understanding behavioral health patterns (e.g., predicting depression) (21,22), and for characterizing prescription medication abuse/misuse (23)(24)(25).…”

E-Mental Health Anwendungen für depressive und suizidale Menschen: eine Übersicht

“…Somit gehen auch Bestrebungen von Social Media Networks Anbietern zunehmend dahin, gefährdete Nutzer_innen automatisiert zu identifizieren bzw. überhaupt Nutzerdaten mit dem Ziel dahingehend auszuwerten Hochrisikopopulationen durch Data Mining und Webaktivitätsmuster zu erkennen (Lopez-Castroman et al 2019). Dies ist nicht nur datenschutzrechtlich äußerst kritisch zu sehen, sondern auch aus klinisch-psychologischer Perspektive eine fragwürdige "Intervention", denn: Es ist bekannt, dass "In-Beziehung-sein" ein wesentlicher suizidpräventiver Faktor darstellt und für viele Menschen inzwischen auch mediale Räume zu wichtigen sozialen Räumen geworden sind.…”

Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation

“…We look beyond linguistic cues into temporal signals throughout this work, with the help of a publicly available dataset given by [14] of 34,306 tweets on suicidality detection. impact the mental health of the users [10]. The associativity of suicide-related verbalizations on social media websites has been found to be strongly related to potential suicidal attempts.…”