JOURNAL ARTICLE

THE USE OF WHATSAPP VOICE NOTES IN THE WORKPLACE AS A POTENTIAL CYBER FRAUD ENABLER.

  • Published In: Journal of Public Administration (0036-0767), 2025, v. 60, n. 4. P. 1377 1 of 3

  • Database: Political Science Complete 2 of 3

  • Authored By: Bapela, Mpho P.; Olorunju, Nokuthula 3 of 3

Abstract

Telephones, emails, and faxes have served as the conventional mode of communication in the workplace for a long time. Lately, WhatsApp has also been used as an acceptable mode of communication in the workplace. The Electronic Communication Transaction Act 25 of 2002 (ECTA) provides for the legal recognition of data messages. This recognition extends to WhatsApp communications. Essentially, this recognition permits employers and employees to communicate formally on work-related issues via WhatsApp. Many organisations and departments have adopted formal WhatsApp groups to discuss work-related issues. One of the ever-developing key features of WhatsApp is a 'voice note', a convenient feature for users. However, there is an increasing trend in cybercrimes trying to the use of WhatsApp voice notes. Methods like Generative Artificial Intelligence (AI) are becoming popular in cloning supervisors' voices to send voice notes to employees, ordering them to make financial transactions, or retrieve important confidential information. Against this backdrop and considering current legal developments, this paper seeks to investigate whether there is a need to stop the use WhatsApp voice notes in the workplace amidst global cybercrime prevalence. Furthermore, whether there is a method available to avert, curb, or mitigate cybercrimes resulting from the use of WhatsApp voice notes in the workplace. To properly investigate these issues, a non-empirical and qualitative research approach will be adopted. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Public Administration (0036-0767). 2025/12, Vol. 60, Issue 4, p1377
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2025
  • ISSN:0036-0767
  • DOI:10.53973/jopa.2025.60.4.a11
  • Accession Number:192681931
  • Copyright Statement:Copyright of Journal of Public Administration (0036-0767) is the property of SAAPAM 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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