An Analytic Study of the Effectiveness of Employing Artificial Intelligence in Jordanian News Channels: “Al-Mamlaka” as a Model

Authors

DOI:

https://doi.org/10.35516/hum.v52i3.6940

Keywords:

Artificial intelligence, news channels, Al-Mamlaka news channel

Abstract

Objectives: This study aims to investigate the effectiveness of employing artificial intelligence technologies in Jordanian news channels, revealing the important role of these technologies in restructuring news channels and improving their performance. The study uses Al-Mamlaka news channel as a model which employs artificial intelligence to enhance its content.

Methodology: Data was collected by analyzing the content of Al-Mamlaka in the period between 1 to 31 December, 2023.

Results: The results of the study reveal that Al-Mamlaka’s studio announcements that cover political topics rank first in employing artificial intelligence applications. Moreover, the study shows that artificial intelligence technologies are frequently used in montage and content design.

Conclusion: The study recommends spreading the culture of artificial intelligence in Jordanian news channels, as it could be variously used for producing and presenting news. Moreover, it calls for training the employees who work for Jordanian news channels in order to develop their skills in using artificial intelligence technologies.

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References

Broman, I., & Ohansson, S. (2018).What impact will Artificial Intelligence have on the future leadership role?: A study of leaders’ expectations, Master’s thesis, Lund University, School of Economics and Management, 1- 39.

Chen, A., & Cheng, H. (2005) The design of instructional multimedia in e-Learning: A Media Richness Theory-based approach. An Institute of Information and Computer Education, National Kaohsiung Normal University, (49), 662-676.

Kahai, S., & Randolph, B. (2003). Exploring the Core concepts of media richness theory: The impact of Cue Multiplicity and Feedback Immediacy on Decision Quality. Journal of Management Information Systems, )20), 263-299 .

Kshetri, N. (2020). Artificial intelligence in human resource management in the Global South, AMCIS 2020 Proceeding 27, Americas Conference on Information Systems (AMCIS) at AIS Electronic Library

Pieterson, W., Teerling, M., & Ebbers, W. (2008). Channel perceptions and usage: Beyond media richness factors. In Electronic Government: 7th International Conference, EGOV 2008, Turin, Italy, August 31-September 5, 2008. Proceedings 7 (pp. 219-230). Springer Berlin Heidelberg.

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Published

2025-02-20

How to Cite

Alnawafah, M. K., Alrababah, O. A., & Eneizat , M. F. . (2025). An Analytic Study of the Effectiveness of Employing Artificial Intelligence in Jordanian News Channels: “Al-Mamlaka” as a Model. Dirasat: Human and Social Sciences, 52(3), 6940. https://doi.org/10.35516/hum.v52i3.6940

Issue

Section

Mass Communication
Received 2024-02-17
Accepted 2024-04-08
Published 2025-02-20