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Research Paper Volume 8 Issue 5 10 - 18 September 15, 2025

The Algorithmic State and Capitalist Control: A Socio-Legal Enquiry into the Effects and Causes of Social Media Algorithms on Human Life

Lead author · Corresponding
Monnaf Ali Miah
LL.M. Student at Department of Law, Rajiv Gandhi University, Arunachal Pradesh, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1110732
Abstract

Social media algorithms mediate vast portions of contemporary social, political, and economic life. This paper offers a socio-legal enquiry into how algorithmic systems operated by platforms and shaped by capitalist imperatives affect individuals, communities, and democratic institutions. It examines both proximate effects (attention economies, mental health, political polarization, labour precarity) and deeper causal dynamics (surveillance capitalism, corporate governance of information flows, public–private regulatory capture). Drawing on interdisciplinary literature from law, sociology, political economy, and technology studies, the paper argues that algorithmic harms are not merely technical failures but the predictable outcomes of business models oriented to monetizing attention and data. The legal response—ranging from privacy regulation to competition law—has been fragmented and often inadequate. The paper concludes with socio-legal recommendations: reorienting accountability regimes, strengthening democratic oversight of platform governance, adopting rights-based constraints on profiling and automated decision-making, and creating structural remedies to counterbalance capitalist concentration.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 5, Page 10 - 18
DOI: https://doij.org/10.10000/IJLMH.1110732
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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