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Артур Таймазов | Telegram Webview: taymazov_artur/1820 -
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По доброй предновогодней традиции принял участие в акции «Елка желаний». В этом году исполню мечты трех маленьких жителей Северной Осетии — Алины, Максима и Давида.

Это замечательный проект, который на протяжении уже многих лет помогает нам, взрослым, делиться теплом, а ребятам — осуществлять желания!



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По доброй предновогодней традиции принял участие в акции «Елка желаний». В этом году исполню мечты трех маленьких жителей Северной Осетии — Алины, Максима и Давида.

Это замечательный проект, который на протяжении уже многих лет помогает нам, взрослым, делиться теплом, а ребятам — осуществлять желания!

BY Артур Таймазов





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Russians and Ukrainians are both prolific users of Telegram. They rely on the app for channels that act as newsfeeds, group chats (both public and private), and one-to-one communication. Since the Russian invasion of Ukraine, Telegram has remained an important lifeline for both Russians and Ukrainians, as a way of staying aware of the latest news and keeping in touch with loved ones. A Russian Telegram channel with over 700,000 followers is spreading disinformation about Russia's invasion of Ukraine under the guise of providing "objective information" and fact-checking fake news. Its influence extends beyond the platform, with major Russian publications, government officials, and journalists citing the page's posts. The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. The regulator said it has been undertaking several campaigns to educate the investors to be vigilant while taking investment decisions based on stock tips. 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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