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Social Media Data for Online Adolescent Suicide Risk Identification: Considerations for Integration Within Platforms, Clinics, and Schools

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Technology and Adolescent Mental Health

Abstract

This chapter is designed to discuss the opportunities to use adolescent-generated social media data in order to detect and monitor behavior patterns predictive of risk for suicide. First, current suicide prevention strategies are outlined. Next, the rationale for utilization of social media is considered given that many adolescents use social media platforms. Aggregating social media data for use with machine learning strategies can provide the basis for a “virtual gatekeeper” that may augment communities’ ability to remain continually awake to suicide risk detection. Several approaches have been developed but are yet to be evaluated beyond a proof of concept phase. Three different existing digital technologies designed to apply machine learning algorithms to social media data to improve identification and management of suicide risk are presented and discussed. Finally, we consider strategies for their integration in the settings which adolescents commonly seek guidance and healthcare. Future research is needed to examine the extent to which adolescent-generated social media data can provide the information needed to accurately predict and reduce suicide risk.

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  1. Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA

    Molly Adrian Ph.D. & Aaron R. Lyon

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  1. Molly Adrian Ph.D.
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Correspondence to Molly Adrian Ph.D. .

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  1. Department of Pediatrics, University of Wisconsin-Madison, Madison, Wisconsin, USA

    Megan A. Moreno

  2. Department of Pediatrics, University of Pittsburgh Children’s Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania, USA

    Ana Radovic

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Adrian, M., Lyon, A.R. (2018). Social Media Data for Online Adolescent Suicide Risk Identification: Considerations for Integration Within Platforms, Clinics, and Schools. In: Moreno, M., Radovic, A. (eds) Technology and Adolescent Mental Health . Springer, Cham. https://doi.org/10.1007/978-3-319-69638-6_12

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