Produced by: Pranav Dixit Designed by: Manoj Kumar
The realm of deepfakes is an ever-evolving landscape that introduces various types of manipulated media content, raising concerns about misinformation and its societal impacts.
Deepfakes come in various forms. Let’s have an extensive look at different types of deepfakes.
This is the most common form, where the face of one person is superimposed onto another's using deep learning algorithms. It can be done convincingly, making it appear as if the target person is saying or doing things they haven't.
Generating synthetic voice recordings that mimic someone's speech patterns and intonations. These can be used to create fake audio messages or mimic someone's voice to an eerily accurate degree.
Deep learning techniques can also alter body movements, gestures, and expressions in videos, making it seem like a person is doing or saying something they didn't.
AI-generated text, such as articles, social media posts, or even emails, that imitate the writing style of a specific individual, potentially leading to misleading content creation.
Beyond faces and bodies, deep learning can manipulate objects within videos, changing their appearance or behaviour. This could lead to deceptive presentations of events or situations.
Combining multiple techniques, such as face-swapping with altered voice or body movements, to create more sophisticated and convincing deepfakes.
Deepfakes have been employed in various malicious activities, including revenge porn, political manipulation, spreading hoaxes, and financial fraud.