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🔥Сейчас соевые коллаборанты релоканты в Сербии придут в ужас и быстро передумают получать сербское гражданство 🤣

P.s. Сербское правительство серьезно рассматривает возвращение срочной службы, а может и не только)

https://www.group-telegram.com/ruserbia/18280



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🔥Сейчас соевые коллаборанты релоканты в Сербии придут в ужас и быстро передумают получать сербское гражданство 🤣

P.s. Сербское правительство серьезно рассматривает возвращение срочной службы, а может и не только)

https://www.group-telegram.com/ruserbia/18280

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In addition, Telegram's architecture limits the ability to slow the spread of false information: the lack of a central public feed, and the fact that comments are easily disabled in channels, reduce the space for public pushback. 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. WhatsApp, a rival messaging platform, introduced some measures to counter disinformation when Covid-19 was first sweeping the world. 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. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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