Abstract: This study examines the similarities between Arab and foreign scientific discourses on artificial intelligence (AI) in journalism, particularly focusing on key aspects (technical, professional, economic, and administrative) that impact journalistic work. It investigates the reasons for these similarities and their various contexts by addressing the following questions: Is the similarity due to a convergence in how both discourses understand AI? And does AI, as a technological factor, exert a uniform influence on journalism regardless of the media institution's nature and the historical, political and cultural context in which it developed? The study analyses a corpus of 20 foreign and 20 Arabic research papers published in scientific journals, covering the topic of AI in journalism from May 2016 to June 2024. This corpus is treated as a scientific discourse and is examined on three levels: text, context and purpose. The study finds that the foreign discourse is diverse, offering multiple and sometimes conflicting interpretations of AI due to its reliance on at least two definitions: the functional and performance-based definition, which evaluates AI based on experiences from various media institutions, and the problematic/intellectual definition, which questions its intelligence. In contrast, the Arab discourse is more unified and consistent, relying on a performance-based perspective and a belief in AI's potential, which has led to satisfaction and an enhancement of its role in newsrooms. Moreover, the study illustrates how this discourse created its own context based on foreign journalistic experiences, diverging from the situation and specifics of Arab media institutions. It questions the impact of AI on the future of journalism: Will it introduce a new model similar to previous ones, or will it reshape existing models? Keywords: Artificial Intelligence, Discourse, Collective Intelligence, Context, Purposes, Machine Learning.
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