2024-03-26 20:42:54
According to the video, Messi and his team developed an application to earn money. (X: @TanoGuerrero1)
A deepfake video of Lionel Messi has begun to circulate on social networks, in which he is seen stating that he and his team have developed an application to earn money, even claiming that this has become his main source of income.
This type of technology, which has reached alarming levels of sophistication, has been used to manipulate the image of Messithe renowned footballer, falsely associating him with a gaming application called Wildcat Dive that is available only to iOS users.
The simulation of Messi’s voice and image in this video deepfake It is so convincing that it has managed to confuse fans and the general public, leading them to believe that the footballer is really behind the aforementioned application.
However, it has been revealed that Wildcat Dive is actually a suspected fraudulent operation, designed to lure users with the promise of financial gain that ultimately results in losses.
The deepfake took the interview from Migue Granados. (Infobae photocomposition)
The fraud was carried out by modifying a real interview that Lionel Messi offered to the Argentine program Olga, presented by Migue Granados. Using advanced techniques, the voices of both the presenter and Messi were altered to fit the fabricated story. In this doctored version of the video, Messi is shown promoting Wildcat Dive, describing it as one of his investments.
“How many sources of income do you have?” asks Migue Granados in the deepfake video. Faced with this, the alleged Messi responds that in addition to being a footballer, he maintains alliances with other brands but that “with his team, he developed Wildcat Dive”, which is his main source of resources.
In the video, it is said that with this application, users can earn up to 800.00 pesos a day and regarding 400 million pesos monthly.
The application is only for iOS devices. (App Store)
Deepfakes are not just limited to promoting fraudulent applications. They are also used with more disturbing intentions, such as the ultra-sexualization of famous singers and actresses, including Taylor Swift and Margot Robbie.
Deepfakes have been sold that show them naked, invading their privacy and dignity. This misuse of technology highlights the ethical dimension and dangers associated with the abuse of these tools in the creation of false and harmful content.
In an information-saturated environment, discerning between what is real and what is manufactured requires a critical and analytical approach.
Swift has been the victim of sexual deepfakes on several occasions. (Disney+)
An illustrative example of this is the deepfake associated with Lionel Messi, where a detail as subtle as the incorrect use of the verbal conjugation “tienes” instead of “tenés”, unusual in the Argentine dialect, serves as a clue regarding the artificiality of the content.
To detect deepfakes, it is essential to examine the context in which the information is presented and seek confirmation from reliable and reputable sources.
Attention to visual and auditory details can reveal inconsistencies; Unnatural-looking facial movements or poor lip synchronization are clear signs of manipulation. Furthermore, it is essential to be alert to the congruence of the language used, since errors or dialectal deviations can be indicative of falsification.
Currently, through AI, it is relatively easy to perform deepfakes. (Illustrative image Infobae)
The trend of using the notoriety of public figures to lend veracity to scams is gaining ground, forcing us to exercise constant vigilance over the content we consume.
In this era of advanced media manipulation, healthy skepticism and meticulous source verification are valuable tools for protecting our own credulity and safeguarding the integrity of our information environment.
Being able to identify red flags and apply verification techniques can make the difference between being deceived or staying accurately informed. With the increasing sophistication of digital deceptions, the ability to detect and discard manipulated information is more crucial than ever.
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