Suicide is one of the leading causes of death in the United States and in the world. Suicide has a profound economic, psychological, and social impact. Unfortunately, many of those who experience suicidal thoughts and behavior are not in touch with traditional mental health treatment. One method to reduce the structural and attitudinal barriers for suicidal individuals not enrolled in treatment is the use of technology. In this study, we recruit approximately 800 college student age 18 to 24 from University of Washington psychology subject pool. Subjects fill out surveys on demographics, suicidal ideation (Beck Scale of Suicide Ideation; Beck, Kovacs, Weissman, 1979), help-seeking preference (Rickwood, Deane, Wilson & Ciarrochi, 2005), stigma (Internalized Stigma of Mental Illness Inventory; Ritsher, Otilingam, & Grajales, 2003), self-concealment (Self-Concealment Scale; Larson and Chastain, 1990), interpersonal relationship (Inventory of Interpersonal Problems), and cultural values (Culture Orientation Scale; Triandis & Gelfand, 1998). First, we examine whether one’s level of suicide ideation predict one’s treatment preference (face-to-face vs online) using a multinomial logistic regression with three groups (individuals unlikely to seek help either online or face-to-face; individuals likely to seek help online only; and individuals likely to seek help face-to-face). In the second phase of analyses, we investigate potential mediators of the relationship between suicidality and help-seeking preference with mediation using bootstrapping, a method based on repetition and resampling with replacement. The results can be used to direct the development of future interventions to better fit suicidal individuals’ needs according to their preferences of being helped.