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Нам прислали фото из Одессы, где сегодня также вспоминают Дарью Дугину.

Фото сделано возле Одесского оперного театра и памятника А.С. Пушкину, который оккупационная власть планирует снести в ближайшее время.

#ЕСМЛичность #ДарьяДугина #ДашаДушаНаша



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Нам прислали фото из Одессы, где сегодня также вспоминают Дарью Дугину.

Фото сделано возле Одесского оперного театра и памятника А.С. Пушкину, который оккупационная власть планирует снести в ближайшее время.

#ЕСМЛичность #ДарьяДугина #ДашаДушаНаша

BY ЕСМ | РОССИЯ-Z






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DFR Lab sent the image through Microsoft Azure's Face Verification program and found that it was "highly unlikely" that the person in the second photo was the same as the first woman. The fact-checker Logically AI also found the claim to be false. The woman, Olena Kurilo, was also captured in a video after the airstrike and shown to have the injuries. On February 27th, Durov posted that Channels were becoming a source of unverified information and that the company lacks the ability to check on their veracity. He urged users to be mistrustful of the things shared on Channels, and initially threatened to block the feature in the countries involved for the length of the war, saying that he didn’t want Telegram to be used to aggravate conflict or incite ethnic hatred. He did, however, walk back this plan when it became clear that they had also become a vital communications tool for Ukrainian officials and citizens to help coordinate their resistance and evacuations. "There are a lot of things that Telegram could have been doing this whole time. And they know exactly what they are and they've chosen not to do them. That's why I don't trust them," she said. This ability to mix the public and the private, as well as the ability to use bots to engage with users has proved to be problematic. In early 2021, a database selling phone numbers pulled from Facebook was selling numbers for $20 per lookup. Similarly, security researchers found a network of deepfake bots on the platform that were generating images of people submitted by users to create non-consensual imagery, some of which involved children. These entities are reportedly operating nine Telegram channels with more than five million subscribers to whom they were making recommendations on selected listed scrips. Such recommendations induced the investors to deal in the said scrips, thereby creating artificial volume and price rise.
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