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Digital Arrest Using Artificial Intelligence Generative Deepfake Media Content in Post-Truth Society

Kawaljit Singh Kawaljit Singh,Dr. Harish Kumar

2025 · DOI: 10.35629/9467-1307191197
Journal of Research in Humanities and Social Science · 0 Citations

TLDR

Critical advice is provided on how to recognise and avoid falling victim to these cybercrimes, including techniques for validating information, securing personal information, and staying up to date on developing fraud.

Abstract

In the present digital era, a new society is emerging, one that is often referred to as the post-truth society. In a

post-truth society, facts are being eroded, and citizens are increasingly susceptible to fake information.

Presently, in a post-truth society, deepfake media content can be produced with the help of artificial intelligence.

Online schemers use Deepfake videos, photographs, and animated content to put victims under digital arrest.

Cybercriminals create fake identities by cloning the voices of individuals and impersonating government

officials to commit financial fraud.Due to an absence of awareness, the vast majority of victims fall into the

situation of digital arrest. These frauds take advantage of victims' dread and uncertainty, leaving them both

economically and emotionally ruined. Even intelligent people are also falling prey to these clever tactics: every

day, headlines are filled with 'digital arrests' cases. The ethics and consequences of digital arrest are a source of

ongoing controversy. Digital arrest has created concerns about privacy issues, surveillance overreach, and the

possibility of misuse of power, raising red flags. Surveillance technologies, such as face recognition, have been

criticised for having the potential to violate human rights and unfairly harm marginalised people.

This study provides critical advice on how to recognise and avoid falling victim to these cybercrimes, including

techniques for validating information, securing personal information, and staying up to date on developing

fraud.