DEEPFAKES
A deepfake video is a type of synthetic media in which a person in an existing video is replaced with someone else’s likeness. This is typically done using artificial intelligence (AI) techniques, such as machine learning and face-swapping.
Deepfake videos have the potential to be used for a variety of purposes, both good and bad. On the one hand, they can be used to create realistic and believable simulations of events that never actually happened. This could be used for educational or entertainment purposes, or even for more nefarious purposes, such as spreading misinformation or propaganda.
On the other hand, deepfake videos can also be used to create harmful and misleading content. For example, they could be used to create fake news articles or videos that appear to show people saying or doing things they never actually said or did. This could have a serious impact on public discourse and trust in institutions.
In India recently famous actress Rashmika Mandanna deepfake video gone viral on various social media platforms. Originally the video is of Zara Patel, a British-Indian influencer, but her face was replaced with the face of the actress using deepfake technology.On her statement she told that she shared the video on 9th Oct 2023 in Instagram post with the caption, ”POV: you almost close the elevator door on me again….”
How to Spot Deepfakes?
Visual inconsistencies:
Unnatural facial expressions and movements: Deepfakes may have subtle inconsistencies in facial expressions and movements, such as blinking too often or too little, or having unnatural facial hair or jewelry.
Poor lip-syncing: Deepfakes may have poor lip-syncing, where the movement of the person’s mouth does not match the audio.
Inconsistent lighting and reflections: Deepfakes may have inconsistent lighting and reflections, where the person’s face or hair appears different from the background.
Low-quality video or audio: Deepfakes may be low-quality video or audio, especially in areas where the AI has had difficulty replicating reality.
Audio inconsistencies:
Unnatural pauses or hesitations: Deepfakes may have unnatural pauses or hesitations in the speech, especially when the AI is transitioning between different audio sources.
Background noise or inconsistent audio levels: Deepfakes may have inconsistent background noise or audio levels, where the audio quality varies throughout the recording.
Repetitive speech patterns: Deepfakes may have repetitive speech patterns, where the AI is using a limited dataset of audio to create the speech.
Contextual clues:
Consider the source of the video: Be skeptical of videos from sources you are not familiar with or that have a history of sharing misinformation.
Check for other versions of the video: If you see a video that seems suspicious, try to find other versions of the video or audio to compare it to.
Consider the person in the video: Does the video make claims or statements that the person in the video would not typically make?
Be aware of your biases: It is important to be aware of your own biases when evaluating a video or audio recording. Deepfakes can be used to exploit these biases and make people believe things that are not true.
Deepfake APPS , Websites & Online Tools
The Deepfake technology gaining popularity among people as many websites offering online facility of making deepfake video and images.
Some of them are listed below :
Deepswap : Generate deepfake videos, photos, and GIFs
Reface : Create deepfake videos by applying your face to movie characters
Face Swap Live:Swap your face with others in real time
Deepfakes Web :Generate high-quality deepfake videos
Face Magic:Make deepfake videos by applying your face to movie characters
Avatarify:Face animation app that brings your images to life
Deep Brain:Create generative AI videos by providing a script
Anyone Swap:Replace the face in any photo with your face
Heyphoto:Change the facial features of a person from an image
MyHeritage : Replace old celebrity with new one.
