The proliferation of social media use in daily life has introduced a new practice in today’s society: posting about suicidal ideation or intent online. Recent trends in social media reflect a movement towards different forms of male and female empowerment that impact gender norms, and thus, may impact social categorization. This pilot study explores posts from r/SuicideWatch that include discussions of gender and its implications for online conceptions of social identity. We use computational methods borrowed from natural language processing to analyze this impact from a novel perspective rarely seen in sociology.