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

Mutluhan Çamur

Makale detayları

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

Yazarlar:

Mutluhan Çamur

Yayıncı:

Cukurova University

Ana Başlıklar:

Gazetecilik Çalışmaları

Dergi:

Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Vol.34 Issue Uygarlığın Dönüşümü: Yapay Zekâ, pp.275-288

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001348589

pISSN:

1304-8899

Anahtar kelimeler:

Özet:

 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 masters 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.

 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 masters 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.

 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 masters 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.

 Bu araştırma yapay zekâ ve gazetecilik ilişkisini lisansüstü tezler bağlamında ele almaktadır. Araştırmada Türkiyede gazetecilik alanında yapay zekâ üzerine yazılan lisansüstü tezlerin muhtevasını ortaya koyarak literatürdeki boşluğu tespit etmek amaçlanmıştır. Yapay zekâ gazetecilik ilişkisinin kapsamlı bir şekilde araştırılarak genel eğilimin ortaya konması ve ileride yapılacak tezler için bir yol haritası sunması açısından bu araştırmanın önemli olduğu düşünülmektedir. Türkiyede gazetecilik alanında yapay zekâya odaklanan lisansüstü tezlerin sınırlı sayıda olduğu ve bu konuya ilginin son yıllarda arttığı varsayımından hareketle Yükseköğretim Kurulu YÖK Ulusal Tez Merkezi veri tabanında yer alan tezler MAXQDA 24te kodlanarak içerik analizi yöntemiyle incelenmiştir. Araştırma bulguları, gazetecilik alanında yapay zekâ üzerine 11i yüksek lisans, 3ü ise doktora olmak üzere toplamda 14 lisansüstü tez yazıldığını ortaya koymuştur. Tezlerin çoğunluğunda nitel yöntemler tercih edilerek yapay zekânın gazeteciliğe etkisine odaklanıldığı ve önemli bir kısmının İstanbul merkezli üniversiteler bünyesinde yazıldığı saptanmıştır. Ayrıca, Türkiyede gazetecilik alanında yapay zekaya ilginin sınırlı olduğu ve farklı perspektiflerden değerlendiren çalışmalara ihtiyaç olduğu gözlemlenmiştir.

Makale detayları

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

Yazarlar:

Mutluhan Çamur

Yayıncı:

Cukurova University

Ana Başlıklar:

Gazetecilik Çalışmaları

Dergi:

Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Vol.34 Issue Uygarlığın Dönüşümü: Yapay Zekâ, pp.275-288

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001348589

pISSN:

1304-8899

Artificial Intelligence

Journalism

Content Analysis

Postgraduate ThesesYapay Zekâ

Gazetecilik

İçerik Analizi

Lisansüstü Tezler

Sayı

Makale detayları

Yazarlar: Mutluhan Çamur

Yayıncı: Cukurova University

Ana Başlıklar: Gazetecilik Çalışmaları

Dergi: Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Vol.34 Issue Uygarlığın Dönüşümü: Yapay Zekâ, pp.275-288

Belge Tipi: Makale

Yayın Tarihi: 7/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001348589

pISSN: 1304-8899

Sayı

Yazarlar:

Mutluhan Çamur

Yayıncı:

Cukurova University

Ana Başlıklar:

Gazetecilik Çalışmaları

Dergi:

Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Vol.34 Issue Uygarlığın Dönüşümü: Yapay Zekâ, pp.275-288

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001348589

pISSN:

1304-8899