Algorithmic bias and media manipulation: A systematic review of AI’s Role in shaping public perception and political discourse
Department of Communication, Northern Illinois University.
Review Article
World Journal of Advanced Research and Reviews, 2022, 16(03), 1239-1249
Publication history:
Received on 01 November 2022; revised on 14 December 2022; accepted on 17 December 2022
Abstract:
Artificial intelligence's (AI) influence on public opinion and political discourse necessitates immediate attention as it gets more and more integrated into media infrastructures. This systematic review synthesizes findings from 25 peer-reviewed papers published between 2015 and 2022 to investigate the relationship between algorithmic bias, media manipulation, and public trust. Guided by the PRISMA 2020 framework, the review examines how AI-driven systems impact content curation, magnify false information, and mediate political communication. Five themes emerge from the analysis: political manipulation, public trust and democratic engagement, algorithmic fairness, AI in media and journalism, and the changing nature of ethical and legal governance. Findings reveal that while AI systems can provide content more efficiently, they also reinforce bias, reduce the diversity of information, and operate with limited accountability or transparency. The review emphasizes the need for interdisciplinary approaches to algorithmic governance, especially as societies struggle with the democratic consequences of opaque and increasingly influential media technologies
Keywords:
Algorithmic Bias; Artificial Intelligence; Media Manipulation; Misinformation; Political Discourse; Systematic Review; PRISMA
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0