Middle East Journal of Communication Studies
DOI
10.71220/2585-005-002-002
Abstract
The research aims to identify the extent to which workers in Jordanian digital media organizations rely on artificial intelligence in the production of scientific content, by knowing the extent of Jordanian digital media's coverage of scientific content, and the most prominent types of scientific content that rely on artificial intelligence techniques in its production, what are the most prominent roles that artificial intelligence plays during the production of scientific content, and what are the most prominent artificial intelligence techniques used in the production of scientific content, and the study belongs to descriptive research, and relies on the field survey method, and the questionnaire was used as a tool to collect data from the respondents in a systematic way to reach the results, and the study was applied to an intentional sample of 50 individuals working in Jordanian digital media organizations producing scientific content.
The research concluded with the following findings: Workers in Jordanian digital media organizations are interested in producing scientific content on a large scale from their point of view, with a percentage of 52%, and that medical and health content is the most prominent type of scientific content produced by workers in Jordanian digital media organizations using artificial intelligence techniques, with a percentage of 96%, in addition to the fact that Jordanian digital media rely on the Internet and artificial intelligence techniques in the first place as a source of producing scientific content, 70%, and 96% of workers in Jordanian digital media organizations use the “ChatGPT” program in the production of scientific content.
Recommended Citation
Abu Humam, Baraa Kamal Abdul Latif
(2026)
"Jordanian digital media organizations rely on artificial intelligence to produce scientific content,"
Middle East Journal of Communication Studies: Vol. 5:
No.
2, Article 2.
DOI: https://doi.org/10.71220/2585-005-002-002
Available at:
https://mejcs.meu.edu.jo/home/vol5/iss2/2