DIGITAL SURVEILLANCE AND ALGORITHMIC POWER: A THEORETICAL READING THROUGH FOUCAULT, WEBER, AND ZUBOFF
Öz
This study offers a theoretical framework for the digital age of surveillance by reconciling Foucault’s theory of disciplinary power, Weber’s idea of rational bureaucracy and Zuboff’s concept of surveillance capitalism. Moving beyond descriptive accounts, the study introduces the concept of “algorithmic power” to conceptualize contemporary digital surveillance as a form of governance operating at the intersection of discipline, bureaucratic rationality, and data-driven economic processes. The study demonstrates that digital technologies, including artificial intelligence, big data, the Internet of Things (IoT), blockchain, and digital twins, not only collect data but also predict, shape, and assign economic value to individual behavior. In this context, Foucault's model of self-discipline transforms into automated algorithmic control; Weber's rationalization transforms into data-driven bureaucratic governance; and Zuboff's surveillance capitalism provides the economic logic that commodifies behavioral data. By combining classical social theory with contemporary digital infrastructures, this study contributes to the literature by offering an integrated conceptual perspective for understanding how power is restructured in data-driven societies. It also examines the functional dimensions of digital surveillance (such as efficiency, security, and predictive capacity) and its critical consequences, including the erosion of privacy, the ethical uncertainty, and the weakening of individual autonomy.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
İşletme
Bölüm
Araştırma Makalesi
Yazarlar
Büşra Yiğitol
*
0000-0002-7846-3393
Türkiye
Yayımlanma Tarihi
27 Haziran 2026
Gönderilme Tarihi
9 Kasım 2025
Kabul Tarihi
5 Mayıs 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 27 Sayı: 1