“Am I Being Silenced by a Machine?” AI-Driven Content Moderation and The Chilling Effect on Freedom of Expression

As artificial intelligence increasingly governs online content moderation, concerns have mounted over its implications for freedom of expression and democratic participation. This paper aims to examine the legal and human rights challenges posed by AI-driven content filtering, with a focus on the emergence of chilling effects and unequal impacts across user groups. Using legal doctrinal analysis, this study interrogates how algorithmic moderation models operate and how they align—or fail to align—with international human rights norms. The findings reveal that AI systems frequently suppress lawful speech, especially from marginalised communities, due to biased training data and opaque decision-making processes. Furthermore, existing regulatory responses remain fragmented, lacking the transparency, accountability, and normative clarity required to uphold free expression. Drawing from recent UN reports and resolutions, the paper highlights growing international critiques and supports calls for human rights-based governance to ensure AI fosters an inclusive, rights-respecting digital age.

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Publication Details

Journal
Alauddin Law Development Journal
Published
2025-08-16
DOI
https://doi.org/10.24252/aldev.v7i2.57618
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

“Am I Being Silenced by a Machine?” AI-Driven Content Moderation and The Chilling Effect on Freedom of Expression

Ramalina Ranaivo Mikea Manitra
Alauddin Law Development Journal
Hate Speech and Cyberbullying Detection
article

“Am I Being Silenced by a Machine?” AI-Driven Content Moderation and The Chilling Effect on Freedom of Expression

Ramalina Ranaivo Mikea Manitra
article en

Abstract

As artificial intelligence increasingly governs online content moderation, concerns have mounted over its implications for freedom of expression and democratic participation. This paper aims to examine the legal and human rights challenges posed by AI-driven content filtering, with a focus on the emergence of chilling effects and unequal impacts across user groups. Using legal doctrinal analysis, this study interrogates how algorithmic moderation models operate and how they align—or fail to align—with international human rights norms. The findings reveal that AI systems frequently suppress lawful speech, especially from marginalised communities, due to biased training data and opaque decision-making processes. Furthermore, existing regulatory responses remain fragmented, lacking the transparency, accountability, and normative clarity required to uphold free expression. Drawing from recent UN reports and resolutions, the paper highlights growing international critiques and supports calls for human rights-based governance to ensure AI fosters an inclusive, rights-respecting digital age.

Alauddin Law Development JournalVol. 7(2)
​Advanced Systems Technology (United States) (US)
Openalex Percentile: Top 89%
Hate Speech and Cyberbullying Detection
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