Reader Empathy in AI-Generated and American Young Adult Fiction: Implications for Inclusive Literacy and Special Education

Abstract

The rapid advancement of AI technology raises questions about the significance of empathy, emotional sincerity, and audience connection in storytelling. While AI-generated stories are becoming more coherent and emotional, their psychological depth is still under scrutiny compared to human-created narratives. This study examines the emotional engagement of readers with AI narratives and explores themes of racial identity and social consciousness in works like Feathers by Jacqueline Woodson and The Hate U Give by Angie Thomas. Using Reader-Response Theory and Cognitive Literary Studies, the research employs a mixed-method approach, analysing both text and reader responses. Findings suggest that while AI's storytelling patterns can be identified, they lack the nuanced psychological depth and socio-cultural memory found in human-authored fiction. Recent young adult novels often reflect deep emotional experiences, such as trauma and identity, which are difficult for algorithms to convey. Ultimately, this study emphasises the necessity of human creativity in storytelling and offers a new perspective on reader empathy in the digital age.