Effectiveness of Employing Artificial Intelligence Technologies in Digital Health Content Production: Opportunities and Challenges

Document Type : Original Article

Author

Assistant Professor - Faculty of Media and Public Relations - Liwa University - Abu Dhabi - United Arab Emirates

Abstract

With the increasing and evolving use of artificial intelligence tools and technologies in content production and the maturation of experience in the form of new types of journalism, such as data journalism, citizen journalism, and developmental communication capabilities related to health awareness-raising strategies and the role of health media in prevention, protection, and dealing with health crises, the study aimed to identify the effectiveness of employing artificial intelligence technologies in producing digital health content, the opportunities, and challenges.
To achieve the study's objective, a descriptive approach was used, using a questionnaire on a purposive sample of (84) participants, including experts, academics, and professionals involved in digital health content production. This study explored the reality of employing artificial intelligence technologies in digital health content production, the advantages of employing these technologies, the challenges and obstacles facing the use of artificial intelligence technologies in digital health content production, and the opportunities for employing artificial intelligence technologies in digital health content production. The study found that there is a significant degree of use of these technologies, with strong support for their advantages in terms of speed, information availability, topic suggestion, and data analysis. However, there are clear challenges related to the source of information, privacy, and reliability.
Despite this, there are still very large opportunities to benefit from these technologies and their enormous potential for collecting and analyzing data, while working to direct them towards taking these challenges into account, by having specialized artificial intelligence tools for producing digital health content, or by subordinating them to reliable health institutions to ensure the quality and source of health information upon which the process of producing digital health content relies.

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