Trends Among Jordanian TV Communicators in Employing Artificial Intelligence Applications in Newsrooms
DOI:
https://doi.org/10.35516/hum.v52i4.6381Keywords:
The Trends of the Communicators, Jordanian TV, Artificial Intelligence, Newsrooms.Abstract
Objectives: The study aims to discern the patterns of communication on Jordanian television, assess the level of information among communicators, and understand their expected behavior and performance, facilitated by the use of artificial intelligence applications in newsrooms.
Methodology: This study employs the survey method and utilizes a questionnaire, targeting a purposive sample of 64 respondents working in the newsrooms of Jordanian television.
Results: The study yielded several findings, with one of the most significant being that the knowledge of Jordanian TV communicators regarding the utilization of artificial intelligence applications in newsrooms was high, with a rate of 83.8%. Additionally, the attitudes of Jordanian television communicators toward employing artificial intelligence applications in newsrooms were positive, with a rate of 81.8%.
Conclusion: The study recommends conducting additional surveys on the attitudes of communicators in Jordanian satellite channels regarding the utilization of artificial intelligence applications in newsrooms. Furthermore, there is a need for the Jordan Radio and Television Corporation to organize specialized workshops on the adoption of artificial intelligence applications in newsrooms.
Downloads
References
Abdel Fattah, F. (2016). Modern newsrooms: experiences from Egypt and the world. (1st ed.). Egypt: Al Arabi Publishing and Printing.
Aissani, R., Abdallah, R. A. Q., Taha, S., & Al Adwan, M. N. (2023, June). Artificial Intelligence Tools in media and journalism: Roles and concerns. In 2023 International Conference on Multimedia Computing, Networking and Applications (MCNA) (pp. 19-26). IEEE. https://doi.org/10.1109/MCNA59361.2023.10185738
Al-Ammarin, H. (2022). In-depth interview on 8/15/2022. Director of Jordanian Television News, Jordanian Television.
Al-Amr, A. (2015). On Jordanian TV. The official website of Jordan Television, retrieved from the website: https://www.jrtv.gov.jo/about-jordan-tv
ALamzahra, M. (2018). Communication theories. (2nd ed.). Oman: Dar Al Masirah for Publishing and Distribution.
Al-Asi, Ahmad. (2021). Media experts’ assessment of the ethical and professional dimensions of artificial intelligence in digital media: a field study. Unpublished Master’s Thesis, Islamic University of Gaza.
Al-Dabisi, Abd. (2017). Media studies in content analysis. Jordan: Dar Al Masirah for Publishing and Distribution.
Ali, W., & Hassoun, M. (2019). Artificial intelligence and automated journalism: contemporary challenges and new opportunities. International Journal of Media, Journalism and Mass Communications, 5(1), 40-49.
Al-Kholy, S. (2020). Egyptian journalists’ attitudes toward employing artificial intelligence in developing information-rich journalistic content: a field study. Egyptian Periodicals, 1 (72), 101-173.
Al-Manasir, M. (2018). On the fiftieth anniversary of the launch of Jordanian Television. Ammon Newspaper, retrieved from the website: https://www.ammonnews.net/article/370013.
Al-Maraachli, Y. (2016). Principles of writing scientific research and its methods: and sources of Islamic studies. (2nd ed.). Beirut: Dar Al-Ma'rifa for Printing and Publishing.
Al-Mazahrah, M. (2010). Media research. Oman: Dar Kunooz for Knowledge, Publishing and Distribution.
Al-Mazharah, M. (2020). Media research methods. (2nd ed.). Oman: Dar Al Masirah for Publishing and Distribution.
Anderson, C. W., Bimber, B., & Davis, R. (2018). Artificial intelligence and the future of journalism. Digital Journalism, 6(10), 1230-1250.
Dierickx, L. (2021). Artificial intelligence and journalism: a race with machines. EQUAL TIMES. (On-Line), available: https://www.equaltimes.org/artificial-intelligence-and?lang=en#.YNyleeS8aEc
Domingo, D., & Paterson, C. (Eds.). (2019). Making Journalism Smart: The Future of Artificial Intelligence in the Fourth Estate. Oxford University Press.
Fawal, N. (1992). Read studies of the communicator. National Social Journal, National Center for Social and Criminological Research, Cairo, 32 (3).
Hwang, Y., Al-Arabiat, M., & Shin, D.-H. (2016). Understanding technology acceptance in a mandatory environment: A literature review. Information Development, 32(4), 1266–1283. https://doi.org/10.1177/0266666915593621
Jordanian Television. (2020). About Jordan TV, retrieved electronically from: https://www.jrtv.gov.jo/about-jordan-tv
Judge, B. (2021). Employing artificial intelligence journalism in news organizations. Employing artificial intelligence journalism in news organizations. (Arab Scientific Society Organization), Retrieved from: https://arsco.org/article-detail-31951-8-0.
Martins, C., Oliveria, T., & Popovic, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13
Ministry of Digital Economy and Entrepreneurship. (2020). Summary of the Ministry of Digital Economy and Leadership in Artificial Intelligence’s framework. Retrieved from: https://www.modee.gov.jo/Default/Ar
Moussa, I., & Abdel Fattah, A. (2020). Attitudes of journalists and leaders towards employing artificial intelligence technologies within newsrooms in Egyptian press institutions: an applied study. Cairo University, Faculty of Information, Public Opinion Research Center, 19(1), 1-66.
Musa, M. (2021). The future of electronic journalism in the age of artificial intelligence. Al Jazeera Center for Studies. Retrieved from: https://studies.aljazeera.net/ar/article/5124
Pavlik, J. (2016). Cognitive computing and journalism: implications of algorithms, artificial intelligence and data for the news media and society. Brazilian Journal of Technology, Communication, and Cognitive Science, 4(2), 1-14.
Pew Research Center. (2018). Journalism & Media, Audio and Prodcating Fact Sheet, http:www.journalism.orgfact-sheetaudio-and-prodcasting
Robinson, S. (2011). Convergence crises: News work and news space in the digitally transforming newsroom. Journal of Communication, 61(6), 1122-1141. https://doi.org/10.1111/j.1460-2466.2011.01603.x Schaik, P.V. (2009). Unified theory of acceptance and use for web sites used by students in higher education. Journal of Educational Computing Research, 40(20), 229-257.
Stray, J. (2019). Making artificial intelligence work for investigative journalism. Digital Journalism, 7(8), 1076-1097.
Trends, M (2022). Artificial intelligence in journalism: where is media headed?, Analytics Insight. (On-Line), available: https://www.analyticsinsight.net/artificial-intelligence-in-journalism-where-is-media-headed
Ufarte-Ruiz, M. J., Murcia-Verdú, F. J., & Túñez-López, J. M. (2023). Use of artificial intelligence in synthetic media: first newsrooms without journalists. Profesional de la información, 32(2).https://doi.org/10.3145/epi.2023.mar.03
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Dirasat: Human and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Accepted 2024-05-09
Published 2025-03-10


