This research will examine the content of adolescents social media entries to find red flags and detect patterns in social media interactions of adolescents that could be predictive of subsequent suicide risk. The study participants will be patients admitted to Child and Adolescent Psychiatry Emergency unit at BCCH, subdivided into two groups: those admitted due to suicidal behaviors, and those admitted for non-suicidal behaviors. The text of social media activity for the month prior to emergency admission of the two groups will be collected, anonymized, and analyzed using text-analytic algorithms. The objective of the study is to find patterns and indicators of social media entries, prior to admission, that would have been predictive of suicidality.