How to Identify Deepfake Video, Image or Audio?

The rapid progress of artificial intelligence and what it can do goes one step further every day. All these innovations; It excites us most of the time, but it can also go so far that we cannot understand what is real and what is a product of artificial intelligence. The deepfake issue, which we will go into detail in a moment, is one of them.

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 changed in a very realistic way to make it seem like they are saying very different things than what they say in the video.

Likewise, your images can be used and you can be portrayed as doing something or saying something that you did not do. All of this can be done flawlessly using data from a few images or videos and can be really hard to understand. We are also in this content 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 blinks.
  • You can look at the harmony between body language and facial expressions.
  • You can examine the mouth of the person in the image more carefully.
  • You can pay attention to the details of the face.
  • You can look for sound inconsistencies.
  • You can pay attention to the focus of the eyes.
  • You can look at other images, videos or audio of the person in the image.
  • You can consider light and shadow incompatibilities.
  • You can do localized review.
  • You can try deepfake detection software.

You can pay attention to whether the person in the video blinks.

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 exceed or decrease well above 10. Like this an unnatural deepfake image occurs, 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, may give clues about 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 work only. To find out whether the image is a deepfake or not the proportion between body and face proportions or the harmony between facial expressions and body language can be checked. Similarly, attention can be paid to the level of matching of facial expressions and facial expressions with the voice.

You can examine the mouth of the person in the image more carefully.

While speaking, our tongue is positioned in different places in our mouth to produce the appropriate sound for each letter of the word. However, this is not the case with today’s deepfake technology. Language in deepfake images, while the person is speaking in the oral cavity It may just be standing there. Therefore, blurriness in the mouth or a fixed language can help understand the deepfake.

Similarly, there may be a sound that does not match the person’s lip movements. This situation occurs in advanced deepfake technologies. Although it has largely disappeared 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. Shiny skin texture, bright pupils, flawless facial lines An image like this may occur. Since a normal human face will not usually be this perfect, we can understand to some extent whether it is a deepfake or not by catching such clues.

You can look for sound inconsistencies.

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 detect this easily, 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 usually focus on the object or person. In deepfakes, such focus may be missing. The eyes remain more dull, expressionless and artificial. Even a strange focus may also occur. Therefore, by examining the eyes more carefully, a clue can be obtained as to whether the image is a deepfake or not.

Also, when paying attention to the eyes light reflections or size of pupils Abnormalities such as these may also reveal the deepfake image.

You can look at other images, videos or audio of the person in the image.

Everyone has characteristic physical features, body language and speech. Even the emphasis we use while speaking can vary a lot. Therefore, to understand whether someone’s image is a 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 consider light and shadow incompatibilities.

Deepfake images or videos are generally similar to real images. It does not have natural light and shadow effects. Therefore, by carefully looking at the light and shadow in the suspicious image, incompatibilities and unnatural reflections can be detected.

You can do localized review.

You can localize the review to get the deepfake video. For example, the region where the video takes place language, jargon, weather, background elements, clothing You can look at conflicting clues about its geographical features or cultural elements, such as:

You can try deepfake detection software.

In processes that require more comprehensive verification, deepfake detection software or online detection systems (taking a selfie or video link in real time) can be used. In this way, it is very easy to understand that the image or sound is a deepfake.

“How to recognize deepfake visual, audio or video?” We explained the answer to the question as best we could with the tips above. It is important to remember that deepfakes are not always easily distinguishable, and as technologies containing such images or sounds increase, detection will become more difficult. For this reason, it seems that we will have to not believe every content we come across and filter it over and over again.

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