Attitudes of the Independent Electronic Arabic Newspaper towards the Future of Artificial Intelligence: An Analytical Study
Objectives: This study aims to explore the themes and perspectives presented in The Independent's Arabic online edition regarding the future outlook of artificial intelligence (AI) and its influential role across various aspects of life in countries and societies. The study addresses a significant issue from a media perspective within the framework of international journalism. It seeks to answer the central research question: "What are the perspectives of The Independent Arabic online edition on the future of artificial intelligence?" Methods: The study adopted a descriptive survey approach, employing content analysis on 39 issues in which AI-related topics appeared, out of a total of 92 issues that represent the research sample. An analysis form was used as a tool to extract categories related to the study variables, measure their frequency, and calculate their percentages. Results: The study's findings revealed that the newspaper pays considerable attention to covering various areas related to AI, as evidenced by the topics focusing on this technology. The overall tone of the newspaper was distinctly positive regarding the future of AI. Furthermore, the most prominent approach in handling AI topics was based on analysis and interpretation. The findings also indicated a lack of fear towards AI replacing humans and causing job losses. Instead, the content emphasized the potential for AI to create new opportunities and jobs, fostering coexistence and complementarity. Conclusions: The study concluded that AI plays a significant role in addressing current and future challenges. However, it may also lead to conflicts and competition over its use, making it both highly beneficial and potentially risky.
Authors
- Mohammed Fyadh (ORCID: https://orcid.org/0000-0001-5061-0411)
- Mohammed Saleh Gabab (ORCID: https://orcid.org/0000-0001-9144-1749)
Institutions
- Ajman University (AE)
- University of Anbar (IQ)
Publication Details
- Journal
- Dirasat Human and Social Sciences
- Published
- 2024-11-20
- DOI
- https://doi.org/10.35516/hum.v51i1.10023
- Primary Topic
- Organizational and Employee Performance
- Type
- article
- Field-Weighted Citation Impact
- 0.00