CRITICAL DISCOURSE ANALYSIS OF THE REPRESENTATION OF ARTIFICIAL INTELLIGENCE (AI) IN INTERNATIONAL SCIENTIFIC ARTICLES

Abstrak

The rapid development of artificial intelligence (AI) in scientific publication has generated new dynamics in global academic practices, positioning AI not only as a technical tool but also as a discursive construct that shapes how knowledge and scholarly identity are produced. This study aims to critically examine the representation of AI in international scientific articles and how these meanings are negotiated by academics. Employing a qualitative approach with a Critical Discourse Analysis (CDA) design based on Fairclough’s model, the study integrates document analysis and in-depth interviews. Data were collected from 22s scientific articles indexed in Scopus and Web of Science (2021–2025), along with interviews involving five academics actively engaged in AIassisted scholarly writing. Data were analyzed thematically through open coding and critical interpretation of textual features, discursive practices, and broader social contexts. The findings reveal three dominant patterns: AI as an instrument of academic augmentation, AI as a threat to scholarly authority and authenticity, and AI as a space of ambivalence reflecting ongoing negotiation between efficiency and critical awareness. These results indicate that AI discourse is not merely representational but also performative in shaping emerging academic norms and identities. The study contributes theoretically by extending critical discourse analysis to include experiential and identity dimensions within technological discourse. Practically, it offers insights for fostering critical AI literacy in higher education and informing more reflective and contextsensitive academic policies, while also opening new avenues for future research on the sociodiscursive implications of AI in academia.