JOURNAL ARTICLE

FREE SPEECH AND HATE SPEECH: A CONSTITUTIONAL BALANCING IN THE USA IN THE AGE OF SOCIAL MEDIA.

  • Published In: VIDHIGYA: The Journal of Legal Awareness, 2025, v. 20, n. 1/2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sharma, Keshari Nandan 3 of 3

Abstract

The evolution of social media platforms, including Facebook, X (formerly Twitter), Instagram, and others, has introduced a profound challenge to the constitutional balancing act between Free Speech and the need to mitigate Hate Speech. The First Amendment to the U.S. Constitution, which broadly protects freedom of speech, has historically been interpreted to grant robust, though not absolute, protection even to unpopular or offensive expression. However, the architecture of social media, characterized by instantaneous global reach, algorithmic amplification, and filter bubbles, has transformed the scope and impact of hateful expression, enabling it to inflict unprecedented psychological and physical harm on targeted individuals and groups. This article examines the tension between established U.S. free speech jurisprudence, which essentially prohibits government regulation of hate speech, and the emergent need for effective governance of harmful online expression. It argues that while direct government censorship remains constitutionally problematic, a renewed focus on the State Action Doctrine, the role of private platforms, and international human rights standards offers pathways toward a more responsible and equitable digital public sphere. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:VIDHIGYA: The Journal of Legal Awareness. 2025/01, Vol. 20, Issue 1/2, p1
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2025
  • ISSN:0973-3825
  • DOI:10.5958/0974-4533.2025.00001.8
  • Accession Number:192492929
  • Copyright Statement:Copyright of VIDHIGYA: The Journal of Legal Awareness is the property of INMANTEC: Integrated Academy of Management & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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