The Use of Generative AI as a Form of Catharsis for Generation Z

Abstract

This study aims to analyze the use of Generative AI as a medium for emotional self-disclosure among Generation Z and its implications for emotional needs fulfillment, mental health, and social relationships. A quantitative approach was employed using a survey of 100 respondents, with 86 AI users included in the main analysis. The research instrument consisted of 25 item Likert scale questionnaire covering four dimensions: motivation, driving factors, emotional fulfillment, and perceived impacts. Reliability of the instrument was assessed using the Cronbach’s Alpha coefficient, yielding an overall a = 0.953, indicating excellent internal consistency. The findings reveal a high prevalence (86%) of AI use for emotional expression, primarily driven by the desire to avoid judgment, consistent responses, and constant accessibility. Interpersonal communication barriers, such as fear of negative evaluation, past negative experiences, and loneliness, also contribute to the preference for AI. In terms of emotional needs, AI supports emotional validation, self-reflection, and emotion regulation; however, it remains limited in providing deep emotional satisfaction due to the absence of non-verbal empathy. Although most respondents do not perceive significant negative impacts, early signs of a displacement effect are identified among a subgroup of users. Therefore, strengthening digital literacy is essential to maintain a balance between technology use and meaningful interpersonal relationships.