The actress saw a video with her face indicating the botox application to be released; See tools to identify this type of assembly
Giovanna Ewbank was the victim of Deepfake, an image management that used her face and voice in a false video, encouraging the use of Botox.
In the era of artificial intelligence (IA), Deepfakes emerged as a sophisticated threat, capable of manipulating hyper -realistic videos and spreading disinformation, financial fraud and reputation damage.
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This technique uses neural networks and would have replaced faces, voices or videos in videos, creating scenes that can deceive even the most attentive observers.
The analyst of the systems and the IT security specialist, Maurício Eswans, describes in detail the steps that everyone should adopt to identify if a video is real or deep.
Analyze the expressions of the face and face
Ia still struggles to replicate the complexity of human expressions. Attention with irregular beats, absent or very fast and reflected in the iris that do not correspond to the lighting of the environment.
Check the synchrony of the lips by observing if the mouth is unhealthy with audio or has exaggerated movements. They are also indicative robotic facial expressions, such as smiles that do not reach sudden eyes or transitions between emotions.
Listen carefully to the voice
The voices generated by the AI can have artificial intonation, with phrases without natural pauses or variations in tone and excessively perfect pronunciation. Unusual background noises, like a light tinnitus or echo, can also be a signal.
The lack of emotion in voice in situations that would require urgency or joy is another point to be observed. An extra suggestion is to compare the item with real videos of the same person and, if possible, use tools such as Reseble to detect for analysis.
Observe the body and the environment
Deep dishes often cannot replicate details beyond the face. Observe the hands and fingers, in search of deformity, incorrect number of non -realistic joints or movements. The inconsistencies in lighting and shadows on the face in relation to the scenario, as well as reflections in flashes or light surfaces that do not correspond to the environment, can indicate manipulation.
The movements of the robotic body, such as a rigid neck or a “float” head, and repetitive gestures are also signs of alert.
Use detection tools
There are specialized tools that can help identify deepfakes. Deepware Scanner is a free platform looking for typical inconsistencies. Microsoft Video Authenticator identifies the changes of pixels imperceptible to the naked eye. In addition, the search for google inverse images can be useful to verify that the video scenes have already been used in other contexts.
Investigate the source and context
Before sharing a video, questioned the credibility of the source. Be wary of anonymous profiles, accounts or channels just created without a reliable chronology. Make sure the video is circulating in reliable printing vehicles.
Analyze if the history presented makes sense, since the deep often exploit the sensationalist content outside the context.
How to protect you in the future
According to Maurício, prevention is essential to mitigate the risks of Deepfakes. It often suggests monitoring the chicking channels of the facts to remain informed about the new manipulation techniques.
“Furthermore, enable control in two steps, protecting your social networks accounts to avoid cloning and use in affairs. Even the exclusive” exclusive “videos: impact news is rarely released first on social networks,” he says.
Source: Terra
Ashley Fitzgerald is a journalist and author at Gossipify, known for her coverage of famous people and their lives. She writes about a wide range of topics, including celebrities, influencers, social media stars, and public figures. Her articles are known for their in-depth analysis and unique perspective. She is respected for her ability to keep readers up to date with the latest news and trends of the famous people.
