A Survey on the Utilization of Artificial Intelligence Software in Journalistic Editing: Perspectives of Communicators at the Jordan News Agency (Petra)
DOI:
https://doi.org/10.35516/hum.v52i4.6437Keywords:
trends, communicators, artificial intelligence, Jordan News Agency (Petra).Abstract
Objectives: This study aims to explore the perspectives of communicators at the Jordan News Agency (Petra) on the integration of artificial intelligence software into journalistic editing in particular and journalistic work in general. Moreover, the study seeks to evaluate the impact of artificial intelligence software on enhancing and evolving media output at the Jordan News Agency.
Methodology: A questionnaire was employed as a tool to collect data from a sample of (102) individuals engaged in press editing at Petra Agency.
Results: The study yields several significant findings. Most importantly, it reveals a high level of approval expressed by communicators at the Jordan News Agency (Petra) regarding the utilization of artificial intelligence software in journalistic editing. Additionally, it shows that there is a notable inclination towards employing artificial intelligence software in news coverage of significant and trendy events as well as in measuring public opinion. The findings also highlight the potential of artificial intelligence software to significantly improve and advance news production at the Jordan News Agency (Petra).
Conclusion: The study recommends conducting additional research on the practices of international news agencies that utilize artificial intelligence applications in journalistic editing. Such exploration should delve into the professional and ethical standards of journalism in relation to these practices. Moreover, the study advocates the development of a comprehensive plan by the Jordanian News Agency (Petra) to make use of artificial intelligence applications, particularly in the field of journalistic editing.
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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 2024-05-15
Published 2025-03-10


