Perception of Artificial Intelligence by Journalism Students at Yarmouk University and its Impact on their Production of Journalistic Content
DOI:
https://doi.org/10.35516/Hum.2026.9214Keywords:
Journalism students, artificial intelligence technologies, journalistic contentAbstract
Objectives: This study aimed to identify the perception of journalism students at Yarmouk University regarding artificial intelligence and its impact on their use of technologies to produce journalistic content.
Methods: The study targeted students in the journalism department at Yarmouk University, second-year level and above, with a sample of 144 students. Based on the Technology Acceptance Model, a descriptive survey method was employed, using a questionnaire for data collection.
Results: The study found that students' perception of artificial intelligence, its tools, ethics, and usage was at a medium level. Only 13.19% used AI tools to produce journalistic content at a high level. The most popular tool was "ChatGPT," used at a medium level. Students primarily used AI for gathering primary information for journalistic production. The main motivation for using these technologies was time and workload reduction, cited by 18.77% of students. The study also revealed a statistically significant relationship between students' perception of AI and their usage of these technologies in journalistic content production.
Conclusions: Although students at Yarmouk University show a medium-level perception of artificial intelligence, enhancing their understanding is crucial, given the growing reliance on these technologies in the media. The study recommends including AI topics in academic courses and providing training for students.
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Al-Zoubi, O., Ahmad, N., & Hamid, N. A. (2024). Artificial intelligence in newsrooms: Ethical challenges facing journalists. Studies in Media and Communication, 12(1), 401–409. https://doi.org/10.11114/smc.v12i1.6587
Arzuaga, L. S. (2022). From the classroom to the newsroom: A critical route to introduce AI in journalism education. Facts & Fiction, 2(1), 80–97.
Beatriz, G., Jorge, V., & Xosé, L. (2023). AI application in journalism: ChatGPT and the uses and risks of an emergent technology. Profesional de la Información, 32(5), 1–16. https://doi.org/10.3145/epi.2023.sep.14
Beckett, C. (2019). New powers, new responsibilities: A global survey of journalism and artificial intelligence (Report). Journalism AI, Polis. The London School of Economics and Political Science.
Boden, M. A. (2018). Artificial intelligence: A very short introduction. Oxford University Press.
de-Lima-Santos, M. F., & Salaverría, R. (2021). From data journalism to artificial intelligence: Challenges faced by La Nación in implementing computer vision in news reporting. Palabra Clave, 24(3), 1–40. https://doi.org/10.5294/pacla.2021.24.3.7
Galily, Y. (2018). Artificial intelligence and sports journalism: Is it a sweeping change? Technology in Society, 54, 47–51. https://doi.org/10.1016/j.techsoc.2018.03.001
Goni, M. A., & Tabassum, M. (2020). Artificial intelligence (AI) in journalism: Is Bangladesh ready for it? A study on journalism students in Bangladesh. Athens Journal of Mass Media and Communications, 6(4), 209–228. https://doi.org/10.30958/ajmmc.6-4-1
Graefe, A. (2016). Guide to automated journalism (Report). The Tow Center for Digital Journalism, Columbia's Graduate School of Journalism.
Guanah, J. S., & Akumabor, N. (2022). Application of artificial intelligence in the learning and practice of journalism in Nigeria. In Discourses on Communication and Media Studies in Contemporary Society (pp. 154–162). Jos University Press.
Lestari, E. R., & Wicaksono, B. (2023). Exploring students’ use of chatbot AI for solving grammar tasks. Journal on Education, 6(1), 9992–10004.
Lewis, S. C., Guzman, A. L., & Schmidt, T. R. (2019). Automation, journalism, and human–machine communication: Rethinking roles and relationships of humans and machines in news. Digital Journalism, 7(4), 409–427. https://doi.org/10.1080/21670811.2019.1577147
Miroshnichenko, A. (2018). AI to bypass creativity. Will robots replace journalists? (The answer is “yes”). Information, 9(7), 183. https://doi.org/10.3390/info9070183
Mohammed, I. A. (2015). The interaction between artificial intelligence and identity and access management: An empirical study. International Journal of Creative Research Thoughts (IJCRT), 3(1), 668–671.
Noain-Sanchez, A. (2022). Addressing the impact of artificial intelligence on journalism: The perception of experts, journalists, and academics. Communication & Society, 35(3), 105–121.
Pinto dos Santos, D., Giese, D., Brodehl, S., Chon, S. H., Staab, W., Kleinert, R., & Baeßler, B. (2019). Medical students' attitude towards artificial intelligence: A multicentre survey. European Radiology, 29(4), 1640–1646.
Sánchez, L., & Utne, T. (2019). Ethics guidelines for immersive journalism. Frontiers in Robotics and AI, 6(28), 1–13. https://doi.org/10.3389/frobt.2019.00028
Simon, F. M. (2023). Artificial Intelligence in the News: How AI Retools, Rationalizes, and Reshapes Journalism and the Public Arena (Report). USA: The Tow Center for Digital Journalism, Columbia University, New York.
Stanescu, G. C. (2023). The impact of artificial intelligence on journalism: Adverse effects vs. benefits. Social Sciences and Education Research Review, 10(1), 258–262.
Zahra, I. M. (2023). Towards a futuristic perspective of introducing AI into marketing communication education in Egypt. The Egyptian Journal of Media Research, 2023(84), 91–146.
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Copyright (c) 2025 Dirasat: Human and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2024-12-04
Published 2025-12-01


