Artificial Intelligence Journalism: An Enquiry within the Framework of News Values and Ethical Principles
Abstract
This study was conducted to examine the effects of artificial intelligence technology on journalistic practice. The study analysed the news of İbrahim Selçuk, an artificial intelligence-based columnist of Dünya Newspaper, one of the leading newspapers in Turkey, and evaluated them in terms of news value and journalistic ethics. Within the scope of the research, 10 news samples published between October 2023 and March 2024 were analysed by descriptive analysis method. The results of the analysis show how much the news produced by artificial intelligence comply with the principles of traditional journalism. The evaluation made within the framework of the basic concepts of journalism reveals that although artificial intelligence news is newsworthy, it faces certain difficulties in terms of journalistic ethics. However, it is noted that more research is needed to provide a deeper understanding of the role and effects of AI technology in journalistic practice. This study can be considered as an important step to understand the evolution of AI technology in the field of journalism and to guide future applications.
Keywords
Artificial Intelligence Artificial Intelligence Journalism Digital Journalism News Values News Ethics
References
- Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics: Applications to constructionist research. Technology, Knowledge and Learning, 19(1-2), 205-220.
- Barocas, S., & Selbst, A. D. (2016). Big data's disparate impact. California Law Review, 104(3), 671-732.
- Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., ... & Zhang, X. (2016). End to end kearning for self-driving cars. arXiv preprint arXiv:1604.07316.
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- Diakopoulos, N. (2019). Automating the news: How algorithms are rewriting the media. Harvard University Press.
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- Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
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- Galtung, J., & Ruge, M. H. (1965). The structure of foreign news: The presentation of the congo, cuba and cyprus crises in four norwegian newspapers. Journal of Peace Research, 2(1), 64-91.
- Gans, H. J. (2005). Deciding what's news: A study of cbs evening news, nbc nightly news, newsweek and time. Northwestern University Press.
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
- Keeble, R., Tulloch, J., & Zollmann, F. (2012). Global literary journalism: Exploring the journalistic ımagination. Peter Lang.
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- McQuail, D. (2005). McQuail's mass communication theory. Sage.
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- Schudson, M. (2011). The sociology of news. W. W. Norton & Company.
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- Ward, S. J. A. (2010). Global journalism ethics. McGill-Queen's Press-MQUP.
- Yıldırım, A. & Şimşek, H. (2011). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin Yayıncılık.
Abstract
Bu çalışma, gazetecilik pratiği üzerinde yapay zekâ teknolojisinin etkilerini incelemek amacıyla yapılmıştır. Türkiye'nin önde gelen gazetelerinden Dünya Gazetesi'nin yapay zekâ tabanlı köşe yazarı İbrahim Selçuk'un haberlerini ele alarak, haber değeri ve habercilik etiği açısından değerlendirilmiştir. Araştırma kapsamında, Ekim 2023 - Mart 2024 tarihleri arasında yayımlanan 10 haber örneği betimsel analiz yöntemiyle incelenmiştir. Analiz sonuçları, yapay zekâ tarafından üretilen haberlerin geleneksel gazetecilik ilkelerine ne kadar uygun olduğunu göstermektedir. Gazeteciliğin temel kavramları çerçevesinde yapılan değerlendirme, yapay zekâ haberlerinin haber değeri taşımasına rağmen habercilik etiği açısından belirli zorluklarla karşı karşıya olduğunu ortaya koymaktadır. Ancak, yapay zekâ teknolojisinin gazetecilik pratiğindeki rolü ve etkileri hakkında daha derinlemesine anlayış sağlamak için daha fazla araştırmaya ihtiyaç olduğu belirtilmektedir. Bu çalışma, yapay zekâ teknolojisinin gazetecilik alanındaki evrimini anlamak ve gelecekteki uygulamaları yönlendirmek için önemli bir adım olarak değerlendirilebilir.
References
- Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics: Applications to constructionist research. Technology, Knowledge and Learning, 19(1-2), 205-220.
- Barocas, S., & Selbst, A. D. (2016). Big data's disparate impact. California Law Review, 104(3), 671-732.
- Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., ... & Zhang, X. (2016). End to end kearning for self-driving cars. arXiv preprint arXiv:1604.07316.
- Coddington, M. (2015). Clarifying journalism’s quantitative turn: A typology for evaluating data journalism, computational journalism, and computer-assisted reporting. Digital Journalism, 3(3), 331-348. https:// doi.org/10.1080/21670.811.2014.976400.
- Diakopoulos, N. (2019). Automating the news: How algorithms are rewriting the media. Harvard University Press.
- Erdoğan, E., & Uyan Semerci, P. (2021). Toplumsal araştırma yöntemleri için bir rehber: Gereklilikler, sınırlılıklar ve incelikler (1st ed.). İstanbul Bilgi Üniversitesi Yayınları.
- Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
- Floridi, L., & Cowls, J. (2019). A unified framework of five principles for aı in society. Harvard Data Science Review, 1(1).
- Galtung, J., & Ruge, M. H. (1965). The structure of foreign news: The presentation of the congo, cuba and cyprus crises in four norwegian newspapers. Journal of Peace Research, 2(1), 64-91.
- Gans, H. J. (2005). Deciding what's news: A study of cbs evening news, nbc nightly news, newsweek and time. Northwestern University Press.
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
- Keeble, R., Tulloch, J., & Zollmann, F. (2012). Global literary journalism: Exploring the journalistic ımagination. Peter Lang.
- Kovach, B., & Rosenstiel, T. (2007). The elements of journalism: What newspeople should know and the public should expect. Crown.
- LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
- McQuail, D. (2005). McQuail's mass communication theory. Sage.
- Pariser, E. (2012). The filter bubble: How the new personalized web ıs changing what we read and how we think. Penguin.
- Schudson, M. (2011). The sociology of news. W. W. Norton & Company.
- Sutton, R. S., & Barto, A. G. (2018). Reinforcement learning: An ıntroduction. MIT Press.
- Ward, S. J. A. (2010). Global journalism ethics. McGill-Queen's Press-MQUP.
- Yıldırım, A. & Şimşek, H. (2011). Sosyal bilimlerde nitel araştırma yöntemleri. Seçkin Yayıncılık.
Details
| Primary Language | English |
|---|---|
| Subjects | Media Studies, Journalism, Journalism Studies, Communication Studies, Communication Technology and Digital Media Studies, Transmedia, New Media, Communication Ethics |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | July 25, 2024 |
| Submission Date | April 9, 2024 |
| Acceptance Date | July 8, 2024 |
| Published in Issue | Year 2024 Issue: 67 |
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