CONTENT ANALYSIS OF POSTGRADUATE THESES WRITTEN ON ARTIFICIAL INTELLIGENCE IN THE FIELD OF JOURNALISM IN TÜRKİYE

Authors : Mutluhan Çamur

Pages : 275-288

Doi:10.35379/cusosbil.1690733

View : 104 | Download : 85

Publication Date : 2025-07-20

Article Type : Research Paper

Abstract :This study examines the relationship between artificial intelligence and journalism in the context of graduate theses. This study aims to identify the content of postgraduate theses written on AI in the field of journalism in Türkiye and to identify gaps in the literature. It is believed that this study is important in terms of comprehensively researching the relationship between AI and journalism, revealing general trends, and providing a roadmap for future theses. Based on the assumption that there are a limited number of postgraduate theses focusing on AI in journalism in Türkiye and that interest in this topic has increased in recent years, theses listed in the National Thesis Center database of the Turkish Council of Higher Education (CoHE) were were coded using MAXQDA 24 and examined using content analysis. The research findings revealed that a total of 14 postgraduate theses, comprising 11 master\\\'s theses and 3 doctoral theses, were written on AI in journalism. It was determined that qualitative methods were preferred in most of the theses, focusing on the impact of AI on journalism, and that a significant portion of them were written at universities based in Istanbul. Additionally, it was observed that interest in AI in the field of journalism in Türkiye is limited and that there is a need for more diversified studies from different perspectives.
Keywords : Yapay Zekâ, Gazetecilik, İçerik Analizi, Lisansüstü Tezler

ORIGINAL ARTICLE URL