Authenticity in the Age of AI-Mediated Communication: A Comparative Analysis of Human and Machine-Generated Apologies
Journal of Contemporary Academic Research and Methodologies
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Keywords

Digital surrogacy
AI apologies
romantic authenticity
gender differences
campus relationships

Abstract

This study investigates "digital surrogacy", the use of AI tools like ChatGPT as substitutes for human emotional expression in romantic apologies among University of Ibadan students. Anchored in Peng's (2020) Authenticity Model of Computer-Mediated Communication, the research examines whether machine-generated apologies undermine relational authenticity in cross-gender campus relationships between Mellanby Hall males and Queen's Hall females. Employing a quantitative cross-sectional survey (N=384), structured Likert-scale questionnaires assessed authenticity perceptions across romantic scenarios via Google Forms distributed through hall WhatsApp groups.
Findings reveal human apologies significantly outperformed AI-generated ones (M=4.33 vs 2.37; t=22.67, p<0.001), confirming AI's emotional deficits. Queen's females demonstrated stronger rejection of digital surrogacy (M=3.98 vs males M=3.67), prioritising relational
warmth, while males favoured pragmatic resolution. Thematic analysis identified "lack of human heart" (77.6%) as the primary authenticity barrier. Recommendations include developing culturally-sensitive hybrid AI tools incorporating pidgin emotionality, relationship counselling emphasising human authenticity, and university policies guiding ethical AI use in intimate communications to preserve campus love dynamics. The study concludes AI-mediated apologies erode romantic trust, particularly among female respondents who value emotional congruence.

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