How to Cite:
Nguyễn Minh Trí, "Digital Surveillance and the Erosion of Privacy: A Sociological Perspective on Algorithmic Control" International Journal of Humanities Science Innovations and Management Studies, Vol. 1, No. 1, pp. 11-20, 2024.
Abstract:
This paper examines how digital surveillance, powered by algorithmic technologies, is reshaping the boundaries of privacy and individual autonomy in contemporary societies. Drawing from sociological theories and empirical studies, it explores the mechanisms by which algorithmic systems are used to monitor, predict, and influence behavior often under the guise of efficiency, security, or personalization. The analysis highlights how these technologies contribute to new forms of social control, reinforcing power asymmetries between institutions and individuals. It also interrogates the implications for civil liberties, social stratification, and democratic governance. By critically engaging with concepts such as surveillance capitalism, data colonialism, and algorithmic governance, the paper underscores the urgent need for robust ethical and policy frameworks to safeguard privacy in the digital age.
Keywords: Digital Surveillance, Privacy, Algorithmic Control,Surveillance, Capitalism,Data Colonialism, Algorithmic , overnance, Social Control, Power Asymmetry, Technological Ethics, Digital Sociology.
References:
[1] S. Zuboff, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, Profile Books, 2019.
[2] S. U. Noble, Algorithms of Oppression: How Search Engines Reinforce Racism, NYU Press, 2018.
[3] A. Westin, Privacy and Freedom, Atheneum, 1967.
[4] A. Zuboff, “How Big Tech Built the Iron Cage,” The New Yorker, 2019.
[5] B. Tau, Means of Control: The Rise of Surveillance in America, HarperCollins, 2023.
[6] G. D’Ignazio & L. Klein, Data Feminism, MIT Press, 2020.
[7] R. Bellanova, “Digital, Politics, and Algorithms: Governing Digital Data through the Lens of Data Protection,” European Journal of Communication, vol. 32, no. 1, pp. 3–18, 2017.
[8] A. Amicelle, “Big Data Surveillance Across Fields: Algorithmic Governance for Policing & Regulation,” Big Data & Society, vol. 9, no. 2, 2022.
[9] K. Smith, “The Politics of Algorithmic Governance in the Black Box City,” Theory, Culture & Society, 2020.
[10] L. Hampton, “Black Feminist Musings on Algorithmic Oppression,” 2021 (preprint).
[11] J. Angwin, Dragnet Nation: A Quest for Privacy, Security, and Freedom in a World of Relentless Surveillance, Times Books, 2014.
[12] K. Ruckenstein, The Feel of Algorithms, University of California Press, 2023.
[13] C. Katzenbach & L. Ulbricht, “Algorithmic Governance,” Internet Policy Review, vol. 8, no. 4, 2019.
[14] M. Andrejevic & K. Gates (eds.), “Big Data Surveillance,” Surveillance & Society, vol. 12, no. 2, pp. 197–286, 2014.
[15] B. Green, “The Flaws of Policies Requiring Human Oversight of Government Algorithms,” AI & Society, vol. 36, pp. 123–139, 2022. |
2024 © Scholastic Research Publication. All Rights Reserved. Designed by IJHSIMS