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Rethinking Section 230: Toward alternative strategies for protecting user privacy in the age of surveillance capitalism

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  • Rethinking Section 230: Toward alternative strategies for protecting user privacy in the age of surveillance capitalism

Amaka Peace Onebunne *

Department of Communication, Northern Illinois University.

Review Article
 

World Journal of Advanced Research and Reviews, 2024, 24(03), 3339-3345
Article DOI: 10.30574/wjarr.2024.24.3.3445
DOI url: https://doi.org/10.30574/wjarr.2024.24.3.3445

Received on 02 November 2024; revised on 28 December 2024; accepted on 30 December 2024

This paper critically examines the intersection of Section 230 of the Communications Decency Act (CDA) and surveillance capitalism, focusing on the inadequacies of the current legal framework in protecting users’ privacy in the age of automation. Using Google v. Gonzalez as a case study, it discusses the implications of Section 230 on privacy rights and the ethical frictions brought about by algorithmic content recommendation systems. Systems, while designed for better user experience, also exploit user data compromising privacy and exposing users to manipulation, biased framing, and increasingly polarized digital environments. Thus, this paper proposes alternative strategies, including regulatory reforms, the adoption of privacy-enhancing technologies, and the development of ethical models for platform governance. These measures aim to realign legal protections with the evolving realities of the digital economy.

Surveillance Capitalism; User Privacy; Algorithmic Content Recommendation; Communication Decency Act (CDA); Platform Governance

https://wjarr.com/node/17753

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Amaka Peace Onebunne. Rethinking Section 230: Toward alternative strategies for protecting user privacy in the age of surveillance capitalism. World Journal of Advanced Research and Reviews, 2024, 24(03), 3339-3345. Article DOI: https://doi.org/10.30574/wjarr.2024.24.3.3445

Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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