What Are Deepfakes? Understand the Danger Behind AI-Generated Fakes

Deepfakes

Learn how deepfakes work, why they’re dangerous, and how SOHUM protects victims from AI-generated fake content.

Introduction

Deepfakes have transformed from fascinating tech experiments into powerful tools for deception
and harm. Using artificial intelligence (AI) and machine learning, deepfakes can swap faces in videos, generate realistic audio imitations, and create false narratives. But behind the technology lies a dark reality, especially for individuals whose lives are torn apart by fake, non-consensual content.

What Is a Deepfake?

A deepfake is synthetic media created using deep learning algorithms, particularly Generative.
Adversarial Networks (GANs). These AI systems learn from vast datasets of images, voices, or videos to mimic a person’s face, expressions, or voice with eerie accuracy. The result: fake but realistic-looking videos or audio that can be almost impossible to detect without advanced tools.

How Deepfakes Are Made

Deepfake creation tools have become increasingly accessible. Today, anyone with a decent Computer and internet access can:

  1. Download a deepfake app
  2. Input video/image data of a target
  3. Generate manipulated content in hours

Deepfake creation tools have become increasingly accessible in recent years. What once required advanced technical skills and expensive hardware can now be done by virtually anyone with a moderately powerful computer and internet access. The barrier to entry has significantly lowered, making the creation of convincing manipulated content more widespread than ever.

Today, a person can simply download a deepfake app or open-source software, input video or image data of a target—often scraped from social media—and generate manipulated content within a matter of hours. No specialized knowledge in machine learning or programming is required; many platforms now offer step-by-step instructions or easy-to-use interfaces.

Common tools include DeepFaceLab, FaceSwap, and mobile apps that are often disguised as
innocent filters. Many of these apps are disguised as harmless entertainment tools or face filters, making it difficult to identify their true purpose until the content is already created and potentially shared.

Learn how public figures deal with deepfake p*rn, fake voice videos, and social media impersonation – and how you can too.

Why Deepfakes Are Dangerous

  1. Personal Damage: Victims suffer trauma when their faces appear in fake p*rnography
    or revenge content.
  2. Reputation Ruin: Public figures can be targeted with fake videos, causing
    career-threatening scandals.
  3. Political Misinformation: Deepfakes have been used to spread fake speeches or
    statements.
  4. Cyberbullying & Blackmail: Threats and extortion based on fake content are rising

Who Is Most Vulnerable?

  1. Women: Especially targeted in revenge p*rn and non-consensual adult content
  2. Teenagers & Children: Easy targets for bullying and grooming
  3. Public Figures & Influencers: Reputation is their livelihood

Real-World Impact

  1. In India, several female journalists and actors have been targeted with fake nude videos.
  2. A 2023 case in the U.S. saw a deepfake used to falsely accuse a politician of bribery.

How SOHUM Helps

SOHUM offers:

  1. Permanent removal of deepfake content from websites, social media, and search engines
  2. AI-based detection to track duplicates and reposts
  3. Confidential support for victims
  4. Legal and cyber investigation partnerships for takedown and justice
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