Central Bank Communication as a Social Practice in Crisis: AI-Driven Insights into Language, Trust, and Collective Behavior in Türkiye

Authors : Hakan Emekçi

Pages : 162-175

Doi:10.26466/opusjsr.1774545

View : 130 | Download : 207

Publication Date : 2025-10-30

Article Type : Research Paper

Abstract :Central banks govern not only through monetary tools but also through words. This article reframes the policy statements of the Central Bank of the Republic of Türkiye (CBRT) as discursive practices that shape authority, legitimacy, and trust. Using artificial intelligence (AI)-driven computational methods—stylometric analysis, sentiment scoring, clustering, and machine learning—the study analyzes CBRT communication between 2002 and 2017. The findings show systematic linguistic shifts during periods of crisis: sentences become longer, uncertainty markers increase, and sentiment turns more cautious or negative. These results reveal how discourse functions as a performative act of narrative governance, stabilizing expectations when economic conditions are volatile. Interpreted through Foucault’s discourse-power framework, Habermas’s theory of communicative legitimacy, and Luhmann’s conception of trust, the study demonstrates that monetary communication is not neutral information but a social mechanism for managing uncertainty. AI serves as an interdisciplinary bridge, making visible hidden dynamics that connect institutional discourse to social perception. The article contributes by (1) reframing central bank communication as a multidimensional social practice, (2) integrating computational methods with critical social theory, and (3) situating Türkiye’s monetary discourse in broader debates on legitimacy and trust in global economic governance
Keywords : Merkez Bankası İletişimi, Stilometrik Analiz, Duygu Analizi, Yapay Zeka, Anlatı Yönetimi, Kriz ve Belirsizlik

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