JOURNAL ARTICLE

Media and Internet Censorship in India: A Study of its History and Political-Economy.

  • Published In: Journal of International Technology & Information Management, 2024, v. 33, n. 1. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Subramanian, Ramesh 3 of 3

Abstract

The Indian Constitution, which came into force on January 26, 1950, guarantees various fundamental rights, such as the freedom of speech and expression, freedom of religion, rights to form association, as well as rights to privacy. Yet, since the adoption of the Constitution, the Indian citizen has been subject to varying degrees of media censorship and surveillance. This paper seeks to delve into the historical evolution of media and Internet censorship and surveillance in India. It shows how media censorship of varying types have existed since the British colonists introduced restrictive laws in order to expand and control the native populations. Upon independence, these laws perpetuated the interests of India's new leaders, who have continued building upon the colonial era laws. All governments have used these laws to capture and hold on to power. This paper provides a qualitative analysis of the history and political economy of 200 years of media (and more recently, Internet) censorship and surveillance in India, the laws that enable them, their political and social history, methods of implementation, and legal, economic, and social ramifications. The paper concludes by offering some remedies. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of International Technology & Information Management. 2024/01, Vol. 33, Issue 1, p1
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2024
  • ISSN:1543-5962
  • DOI:10.58729/1941-6679.1600
  • Accession Number:182206092
  • Copyright Statement:Copyright of Journal of International Technology & Information Management is the property of International Information Management Association (IIMA), Inc. 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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