What are deepfake videos, how they are made, and how to spot fake ones? Here is all you should know
deepfake video featuring Indian actor Rashmika Mandana surfaced, adding to the list of celebrities who have fallen victim to such manipulated content. In this article, we will explain what deepfake videos are, how they are created, and some tips on how to identify them.
What are deepfakes?
Deepfakes are manipulated media, typically videos, that are crafted using artificial intelligence (AI) techniques.
These techniques are used to replace a person's appearance or voice with that of another, making it seem like the person in the video is saying or doing things they never actually did.
How are deepfake videos made?
Deepfake videos are produced using a combination of encoder and decoder networks, often within the framework of a Generative Adversarial Network (GAN). The encoder network analyzes the source content, such as the original face, and extracts crucial features and representations.
These features are then handed over to the decoder network, which generates new content, like a manipulated face. This process is repeated continuously until the AI achieves the desired result.
In the case of video deepfakes, this process is carried out for each frame of the video to ensure consistency. GANs work by using a generator network to create fake content and a discriminator network that attempts to differentiate between fake and real content.
How to spot deepfakes:
To identify deepfake videos, pay attention to visual and audio inconsistencies, along with other telltale signs:
- Facial expressions and anomalies: Look for unnatural facial expressions, mismatched lip-sync, or irregular blinking.
- Audio discrepancies: Listen carefully for shifts in tone, pitch, or unnatural speech patterns when in doubt about a video's
