Telegram Group & Telegram Channel
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Комментирую:
1) топонимы на -о славянского происхождения склоняются, такова норма русского языка;
2) Собянин не имеет отношения к установлению норм русского языка;
3) дикторов телевидения давно не существует, их заменили журналисты;
4) естественно, "половина москвичей" - количество, взятое каналом с потолка.
Тяжело склонять слова в родном языке? Наймите репетитора.



group-telegram.com/philol_lol/9645
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Подписчица прислала с просьбой прокомментировать.

Комментирую:
1) топонимы на -о славянского происхождения склоняются, такова норма русского языка;
2) Собянин не имеет отношения к установлению норм русского языка;
3) дикторов телевидения давно не существует, их заменили журналисты;
4) естественно, "половина москвичей" - количество, взятое каналом с потолка.
Тяжело склонять слова в родном языке? Наймите репетитора.

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Telegram boasts 500 million users, who share information individually and in groups in relative security. But Telegram's use as a one-way broadcast channel — which followers can join but not reply to — means content from inauthentic accounts can easily reach large, captive and eager audiences. 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. 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. 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 administrators had built substantial positions in these scrips prior to the circulation of recommendations and offloaded their positions subsequent to rise in price of these scrips, making significant profits at the expense of unsuspecting investors, Sebi noted.
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