ARTIFICIAL INTELLIGENCE AND YOUTH: A PHENOMENOLOGICAL STUDY ON UNIVERSITY STUDENTS
Öz
With rapid advancements in information and communication technologies, generative artificial intelligence tools have become significant tools that change young people's habits in areas such as communication and access to information. This study examines the effects of university students' experiences using AI-powered digital applications on their communication practices and daily lives using a phenomenological research design. As part of the study, semi-structured interviews were conducted with 14 university students. Six different themes were identified from the findings: "Information orientation and changes in learning habits," "Cognitive decline anxiety," "Occupational uncertainty anxiety," "Artificial intelligence as an alternative emotional support mechanism," "Emotional support data security and privacy perception," and "Manipulation." These findings demonstrate that young people's experiences regarding the use of artificial intelligence largely overlap with studies in the literature and support existing research. This study offers a qualitative and experience-based contribution to the existing literature by addressing the cognitive, emotional, and social effects of artificial intelligence on young people from a phenomenological perspective.
Anahtar Kelimeler
Artificial Intelligence, Youth, Digital Communication, Everyday Life Practices, Phenomenological Research
Kaynakça
- Alfeir, N. M. (2024). Dimensions of artificial intelligence on family communication. Frontiers in artificial intelligence, 7. https://doi.org/10.3389/frai.2024.1398960
- Al-Khassawneh, Y. A. (2022). A Review of artificial ıntelligence in security and privacy: Research advances, applications, opportunities, and challenges. Indonesian journal of science and technology, 8(1), 79-96. https://doi.org/10.17509/ijost.v8i1.52709
- Balbi, G. (2017). Deconstructing “media convergence”: A cultural history of the buzzword, 1980s–2010s. In Media convergence and deconvergence (pp. 31-51). Cham: Springer International Publishing.
- Brandtzaeg, P. B., Følstad, A., & Skjuve, M. (2025). Emerging AI individualism: How young people integrate social AI into everyday life. Communication and Change, 1(1), 11. https://doi.org/10.1007/s44382-025-00011-2
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
- Buçinca, Z., Malaya, M. B., & Gajos, K. Z. (2021). To Trust or to think: Cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making. Proc. ACM Hum.-Comput. 00Interact., 5(CSCW1), 188:1-188:21. https://doi.org/10.1145/3449287
- Cabral, R. T. M. (2012). A constıtuıção das relações famılıares na era dıgıtal: Dıálogos com a educação ambıental [Master's thesis, Universidade Federal do Rio Grande].
- Cheng, Z., & Jin, X. (2024). The impact of job anxiety caused by artificial intelligence substitution on organizational members’ turnover ıntention: The mediating role of job insecurity and the moderating effect of job uncertainty. 생산성연구: 국제융합학술지, 38(3), 67-103.https://doi.org/10.47191/ijcsrr/V8-i7-44
- Cloete, F. (2024). Governing artificial intelligence (AI) and other technologies in the digital era. Administratio Publica. (32)1. https://journals.co.za/doi/abs/10.10520/ejc-adminpub_v32_n1_a3
- Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE Publications.
