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So you default to one of the basic suggested handles with your first and last name, and maybe a number or something...until one day it hits you.Damn, that would've been the perfect Twitter handle ...
A mention (also known as @replies or tagging) is a means by which a blog post references or links to a user's profile. This may be done as a matter of getting the attention of (or drawing attention to) another user of a social networking or blogging service, as a matter of replying to the other user's post, or as a matter of "tagging" a user in a post.
Twitter, officially known as X since 2023, is a social networking service.It is one of the world's largest social media platforms and one of the most-visited websites. [4] [5] Users can share short text messages, images, and videos in short posts commonly known as "tweets" (officially "posts") and like other users' content. [6]
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Twitter released a new version of TweetDeck on December 8, 2011, branded as "TweetDeck by Twitter", as part of Twitter's redesign of its services. TweetDeck changed from an Adobe AIR application to a native Windows and Mac OS X application in this release, introducing a web version of TweetDeck for WebKit -based browsers based on TweetDeck's ...
YouTube Studio offers features for creators to manage their own channels, including a dashboard for news and personal notifications, [7] [8] general management of one's own videos on the platform, [9] channel analytics, [10] monetization and copyright management, [11] [12] and other resources and tools for channel customization. [13] [14] [15] [16]
A user's wall is visible to anyone with the ability to see their full profile, and friends' wall posts appear in the user's News Feed. In July 2007, Facebook allowed users to post attachments to the wall, whereas previously the wall was limited to text only. [12] In May 2008, the Wall-to-Wall for each profile was limited to only 40 posts.
The ratio of tweets from mobile versus desktop, as compared to an average human Twitter user. Emilio Ferrara at the University of Southern California used artificial intelligence to identify Twitter bots. He found that humans reply to other tweets four or five times more than bots and that bots continue to post longer tweets over time. [35]