Extent of dependence of Jordanian electronic news websites on artificial intelligence applications

The study aims to explore the extent to which Jordanian e-news sites rely on artificial intelligence applications in their news content. The researchers will use a media survey methodology, and the sample will consist of 45 editors-in-chief and editors from 10 Jordanian news sites, namely: Ammon, Khabrny, Joe24, Saraya, Amman Net, Jafra, Crown News, Petra, Kingdom, and Roya. The researcher will use an electronic questionnaire, which led to several findings, the most significant of which are: Many news and media sites have introduced artificial intelligence systems to enhance the services they provide to the public. A significant number of journalistic and electronic media websites have shown interest in data analysis tools for their media services. Electronic news sites are clearly striving to improve their capabilities in using artificial intelligence technologies to enhance the services they provide to the Jordanian audience. Additionally, most electronic media websites have expressed a willingness to develop a plan to improve cybersecurity systems to protect against hacking and intrusion attempts, safeguarding their data and the AI systems that operate continuously.AI systems in media organizations also aim to enhance the news experience for users by enriching media services with modern, communicative content.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-12-19
DOI
https://doi.org/10.24294/jipd7468
Citations
1
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.35
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article

Extent of dependence of Jordanian electronic news websites on artificial intelligence applications

Hala Amr, Mohamad Abu Halka, Ruba Mohd
1 citations
Journal of Infrastructure Policy and Development
Organizational and Employee Performance
0.35
article

Extent of dependence of Jordanian electronic news websites on artificial intelligence applications

Hala Amr, Mohamad Abu Halka, Ruba Mohd
article en
1 citations

Abstract

The study aims to explore the extent to which Jordanian e-news sites rely on artificial intelligence applications in their news content. The researchers will use a media survey methodology, and the sample will consist of 45 editors-in-chief and editors from 10 Jordanian news sites, namely: Ammon, Khabrny, Joe24, Saraya, Amman Net, Jafra, Crown News, Petra, Kingdom, and Roya. The researcher will use an electronic questionnaire, which led to several findings, the most significant of which are: Many news and media sites have introduced artificial intelligence systems to enhance the services they provide to the public. A significant number of journalistic and electronic media websites have shown interest in data analysis tools for their media services. Electronic news sites are clearly striving to improve their capabilities in using artificial intelligence technologies to enhance the services they provide to the Jordanian audience. Additionally, most electronic media websites have expressed a willingness to develop a plan to improve cybersecurity systems to protect against hacking and intrusion attempts, safeguarding their data and the AI systems that operate continuously.AI systems in media organizations also aim to enhance the news experience for users by enriching media services with modern, communicative content.

Journal of Infrastructure Policy and DevelopmentVol. 8(16)
Al-Balqa Applied University (JO), Faculty of Media (SI)
Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Organizational and Employee Performance
0.35
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Extent of dependence of Jordanian electronic news websites on artificial intelligence applications — Hala Amr, Mohamad Abu Halka, et al. · Journal of Infrastructure Policy and Development (2024) | TGRS Research Map | TGRS