JOURNAL ARTICLE

The Beehive's Poison: Analysing Legal and Ethical Dilemmas Encircling Evidence Gathered from Sting Operations in India.

  • Published In: International Annals of Criminology, 2025, v. 63, n. 1. P. 16 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Singhania, Laadli; Thakur, Virendra Singh 3 of 3

Abstract

A potent investigative instrument in the fight against highly sophisticated criminal schemes camouflaged by layers of secrecy is the sting operation. However, its application provokes crucial questions of legality and admissibility. Additionally, lack of legal provisions governing sting operations in India has resulted in conflicting judicial stances, calling for clarity on this issue. Hence, this paper examines the intricate legal and ethical challenges surrounding sting operations, which, on one hand, aid in uncovering serious offences and foster public interest but, on the other hand, threaten to infringe privacy rights and fairness of trials. The paper analyses international practices in Canada and the United States of America, alongside judicial precedents and scholarly opinions in India, and recommends statutory inclusion of sting operations in the Indian legal system. The paper proposes stringent judicial control, elaborate ethical guidelines to avoid staging crimes, and regulations on media reporting to maintain the delicate balance of public interest versus personal rights. The paper concludes with a model draft for legislative reform that seeks to strengthen the idea of justice without weakening fundamental rights. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Annals of Criminology. 2025/03, Vol. 63, Issue 1, p16
  • Document Type:Conference Paper/Materials
  • Subject Area:Law
  • Publication Date:2025
  • ISSN:0003-4452
  • DOI:10.1017/cri.2025.4
  • Accession Number:189166815
  • Copyright Statement:Copyright of International Annals of Criminology is the property of Cambridge University Press 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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