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♈️♉️♊️♊️♋️♌️ Житель Угольных Копей предстанет пред судом за пожар

Анадырская межрайонная прокуратура утвердила обвинительное заключение по уголовному делу в отношении 63-летнего мужчины. Его считают виновным в пожаре, при котором сгорело чужое имущество. Следователи оценили ущерб в 400 тысяч рублей.

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🟡 Информагентство "Чукотка"

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♈️♉️♊️♊️♋️♌️ Житель Угольных Копей предстанет пред судом за пожар

Анадырская межрайонная прокуратура утвердила обвинительное заключение по уголовному делу в отношении 63-летнего мужчины. Его считают виновным в пожаре, при котором сгорело чужое имущество. Следователи оценили ущерб в 400 тысяч рублей.

➡️ ЧИТАТЬ ПОЛНОСТЬЮ

📸: прокуратура по ЧАО

🟡 Информагентство "Чукотка"

🚀ПОДПИСАТЬСЯ | ⚡️ПОДДЕРЖАТЬ ГОЛОСОМ

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He floated the idea of restricting the use of Telegram in Ukraine and Russia, a suggestion that was met with fierce opposition from users. Shortly after, Durov backed off the idea. "Markets were cheering this economic recovery and return to strong economic growth, but the cheers will turn to tears if the inflation outbreak pushes businesses and consumers to the brink of recession," he added. Emerson Brooking, a disinformation expert at the Atlantic Council's Digital Forensic Research Lab, said: "Back in the Wild West period of content moderation, like 2014 or 2015, maybe they could have gotten away with it, but it stands in marked contrast with how other companies run themselves today." 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. 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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