Exploring Communication Authenticity Anxiety: A Data-DrivenPsychological Analysis of Al-Generated Content on StudentSelf-Perception and Expression
Academic Stress; Artificial Intelligence; Communication Authenticity Anxiety; Machine Learning; Resilience; Student Self-perception
Generative artificial intelligence (AI) tools such as ChatGPT and Gemini are becoming more common in student communication, owing to the improvement that they offer in fluency and efficiency, but at the same time raise concerns about authenticity. Students struggle to put their authentic voice forward in the quest to enhance their work using these writing assistants. Many surveys have been conducted, which indicate widespread use of AI tools for education-related chores, yet these studies ignore the emotional effects related to this. The psychological discomfort related to authenticity in text-based communication is still not well examined and to address this gap, this study introduces a term called Communication Authenticity Anxiety and successfully examines its relationship with self-perception, academic stress, resilience, and AI dependence. Data were collected via a structured student survey and analyzed using exploratory factor analysis, regression modeling and machine learning techniques. Results show that self-perception and academic stress are the strongest predictors of authenticity anxiety, while resilience and AI dependence have weaker effects. These findings were further validated by Machine Learning models, with Random Forest achieving 75% accuracy and XGBoost achieving {9 2%}. This study, thus, successfully contributes to understanding the various psychological consequences of AI-generated content on student identity and expression, thereby providing valuable insights for crafting responsible educational policies. 2025 IEEE.
Kaur, Simran; Rajesh, R.; Radhalakshmi, K.N.
IC-DECON 2025 - 2025 International Conference on Data, Energy and Communication Network, Proceedings;
Institute of Electrical and Electronics Engineers Inc.
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1109/DECoN67170.2025.11447813 https://www.scopus.com/pages/publications/105037376064?origin=resultslist
Kaur S., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Rajesh R., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India; Radhalakshmi K.N., CHRIST(Deemed to be University), Department of Statistics and Data Science, Bangalore, India