How can we understand deepfake video, image or audio that now matches our perception of reality?
March 13, 2024
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Deepfake; generally created with artificial intelligence techniques; fake or are manipulated audio recordings, videos or images. For example, a video of a person can be altered in a
Deepfake; generally created with artificial intelligence techniques; fake or are manipulated audio recordings, videos or images. For example, a video of a person can be altered in a very realistic way so that it appears as if he is saying very different things than what he is saying in the video.
Likewise, your images can be used and you can be depicted as doing something or saying something that you didn’t do. All this can be done flawlessly using data from a few images or videos and can be very difficult to understand. In this content we also have How to detect deepfake? We will try to explain the subject.
How to detect deepfake?
You can pay attention to whether the person in the video is blinking.
You can look at the harmony between body language and facial expressions.
You can examine the mouth of the person in the picture more carefully.
You can pay attention to the details of the face.
You can look for inconsistencies in the sound.
You can pay attention to the focus of the eyes.
You can view other images, videos, or audio of the person in the image.
You can take into account incompatibilities between light and shadow.
You can perform a localized assessment.
You can try deepfake detection software.
You can pay attention to whether the person in the video is blinking.
You can focus on the number of blinks to understand whether the video is a deepfake or not. The average person blinks almost 10 times per minute. In some deepfake videos, this number may be higher or lower than 10. Similar an unnatural deepfake image happens, but many of us may not notice it while watching the video.
Therefore, to understand whether the video is a deepfake or not, that person pay attention to the blink reflex, It may provide clues as to its reality.
You can look at the harmony between body language and facial expressions.
Creating a completely fake image of a person requires serious effort. That’s why many deepfakes are limited to face-swapping. To find out if the image is deepfake or not the relationship between body and facial proportions whether the harmony between facial expressions and body language can be checked. Similarly, attention can be paid to the degree to which facial and facial expressions match the voice.
You can examine the mouth of the person in the picture more carefully.
When we speak, our tongue is placed in different places in our mouth to produce the correct sound for each letter of the word. However, with current deepfake technology, this is not the case. Language in deepfake images while the person is speaking in the oral cavity It may just be there. Therefore, blurriness in the mouth or a fixed language can help understand the deepfake.
Likewise, there may be a sound that does not match the person’s lip movements. This situation occurs with advanced deepfake technologies. Although it is mostly gone Such flawed deepfake images can still emerge.
You can pay attention to the details of the face.
Deepfakes often attempt to perfect facial details, resulting in overcorrections. Glossy skin texture, clear pupils, flawless facial lines Such an image may occur. Since a normal human face will usually not be that perfect, we can understand to some extent whether it is a deepfake or not by picking up on such clues.
You can look for inconsistencies in the sound.
Deepfake sounds; like a real conversation sound waves, frequency, melody, intonations, emphasisHe may not get it exactly right. The sound changes erratically and artificially. Not everyone can easily detect this, but people who specialize in this field, such as linguists, can understand whether the voice is a deepfake or not.
You can pay attention to the focus of the eyes.
When we talk, our eyes are usually focused on the object or person. This focus may be missing with deepfakes. The eyes remain duller, more expressionless and artificial. Even a strange focus can also occur. Therefore, examining the eyes more carefully can provide a clue as to whether the image is a deepfake or not.
Even if you pay attention to the eyes light reflections or size of the students Anomalies like these can also reveal the deepfake image.
You can view other images, videos, or audio of the person in the image.
Everyone has characteristic physical features, body language and speech. Even the emphasis we place when speaking can vary greatly. Therefore, to understand whether someone’s image is deepfake or not other videos, images or audio Comparison can be made by looking. A deepfake can be understood if it has different intonations and movements than normal or if there is a different detail in its appearance.
You can take into account incompatibilities between light and shadow.
Deepfake images or videos generally resemble real images. It has no natural light and shadow effects. By carefully looking at the light and shadows in the suspect image, incompatibilities and unnatural reflections can be detected.
You can perform a localized assessment.
You can locate the review to get the deepfake video. For example, the region where the video takes place language, slang, weather, background elements, clothing You can look for conflicting clues about the geographic features or cultural elements, such as:
You can try deepfake detection software.
For processes that require more extensive verification, deepfake detection software or online detection systems (creating a selfie or video link in real time) can be used. This way it is very easy to understand that the image or sound is a deepfake.
“How to recognize deepfake visually, audio or video?” With the above tips we have explained the answer to the question as best as possible. It is important to remember that deepfakes are not always easy to distinguish, and as technologies containing such images or sounds increase, detection will become more difficult. For this reason, it seems that we will not have to believe every content we encounter and filter it again and again.
Sources: Telefonica, News 18, Times of India
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Alice Smith is a seasoned journalist and writer for Div Bracket. She has a keen sense of what’s important and is always on top of the latest trends. Alice provides in-depth coverage of the most talked-about news stories, delivering insightful and thought-provoking articles that keep her readers informed and engaged.