Artificial Intelligence in Jordanian Journalism: Professional and Ethical Challenges (A Field Study on Jordanian Journalists)

Authors

DOI:

https://doi.org/10.35516/Hum.2026.10997

Keywords:

Digital media, artificial intelligence, Jordanian journalism, professional challenges, ethical challenges.

Abstract

Objectives: The study aimed to identify the extent to which Jordanian journalists employ artificial intelligence techniques in journalistic content production, the most prominent AI programs used, their practical applications, the impact of AI use on journalistic output, and the key ethical and professional challenges journalists face when employing AI.

Methods: A field survey was conducted using a questionnaire and interview guide applied to a sample of 150 Jordanian journalists.

Results: The study found that 57.1% of journalistic organizations, according to their journalists, use AI technologies to a limited extent, indicating partial integration in journalistic production. Google AI emerged as the most widely used program (45.5%), followed by ChatGPT (29.5%).

Conclusions: Jordanian journalists show a preference for integrated AI tools that address multiple professional needs. The production of fake or misleading content stands out as a major ethical concern. Additionally, the lack of technical support and clear organizational strategies significantly affects journalists’ ability to effectively utilize AI, highlighting the need for professional interventions to close gaps and ensure sustainable AI use.

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References

Bynum, T. W. (2018). Digital Ethics: Principles and Practices in the Age of Technology. Springer.

Sonni, A. F., Hafied, H., Irwanto, I., & Latuheru, R. (2024). Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges. Journalism and Media, 5(4), 1554–1570. https://doi.org/10.3390/journalmedia5040097

Davis, F. (2021). Human-Technology Integration: Implications for Media Professions. Journal of Media Studies.

Issa Talat, S. (2020). Integration or Replacement: Journalism in the Era of Artificial Intelligence and Robot Journalism. International Journal of Media, Journalism and Mass Communications, 6(3). https://doi.org/10.20431/2454-9479.0603001

Verbeek, P.-P. (2011). Moralizing Technology: Understanding and Designing the Morality of Things. University of Chicago Press.

Irshiedat, J., & Khurshid, K. (2024). The degree of dependence of the Jordanian public on social media in health awareness of obesity diseases: Survey study. Middle East Journal of Communication Studies, 4(2), 1-29. http://doi.org/10.71220/2585-004-002-004

Haddad, R., & Khurshid, K. (2021). The Role of Jordanian Mass Media in Facing the Rumors from Communication Practitioner’s Perspective: Survey Study. Middle East Journal of Communication Studies, 1(2). http://doi.org/10.71220/2585-001-002-001

Ramez Abuhasirah, A., Oreqat, H., Al-Kiswani, H., & Al-badri, A. (2023). Mobile Journalism Skills of Field Reporters of TV Channels. Information Sciences Letters, 12(5). https://www.researchgate.net/profile/Ramez-Abuhasirah/publication/370324804_Mobile_Journalism_Skills_of_Field_Reporters_of_TV_Channels/links/644ac0c097449a0e1a608cca/Mobile-Journalism-Skills-of-Field-Reporters-of-TV-Channels.pdf?origin=journalDetail&_tp=eyJwYWdlIjoiam91cm5hbERldGFpbCJ9

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Published

2026-09-01

Issue

Section

Mass Communication

How to Cite

Shatnawi, S. (2026). Artificial Intelligence in Jordanian Journalism: Professional and Ethical Challenges (A Field Study on Jordanian Journalists) . Dirasat: Human and Social Sciences, 53(12), 10997. https://doi.org/10.35516/Hum.2026.10997