Language And Artificial Intelligence In Arab Societies: A Sociolinguistic Approach To Identity And Digital Hegemony
Keywords:
Arabic language, Sociolinguistics, Artificial Intelligence, Algorithmic bias, Digital hegemony, Linguistic identityAbstract
This study investigates the complex relationship between language and artificial intelligence (AI) in Arab societies from a sociolinguistic perspective. The research aims to analyze how Modern Standard Arabic (MSA) and local dialects are represented in AI-based applications and to assess the implications of such representations for identity construction and symbolic power in digital environments. A qualitative research design was adopted, combining critical discourse analysis of AI-generated Arabic texts with semi-structured interviews conducted with fifteen participants from six Arab countries. Content monitoring of digital discussions on social media further complemented the data collection. Findings demonstrate that AI systems consistently privilege MSA while marginalizing dialectal diversity, thereby reinforcing pre-existing linguistic hierarchies and reproducing symbolic domination. Participants frequently reported difficulties in using dialects with AI tools and noted that algorithmic interactions often reflect Western-centric frameworks, projecting an elitist image of Arab identity that fails to capture everyday linguistic practices. Such patterns confirm that AI technologies do not operate as neutral instruments but function as sociolinguistic agents that shape identity performance, regulate acceptable discourse, and contribute to what can be described as “digital linguistic hegemony.” The study contributes to emerging debates on digital colonialism and algorithmic bias by situating AI within the broader sociolinguistic realities of the Arab world. It highlights the urgent need for inclusive policies that integrate dialectal diversity into AI training data, the involvement of Arab scholars and institutions in algorithm development, and the promotion of culturally sensitive design. The research concludes by recommending practical steps toward achieving linguistic equity and epistemic sovereignty in the age of intelligent technologies.
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