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This template allows relevant tweets to be easily quoted within articles, with a citation automatically generated using the template, "cite tweet". Using this template is better than a screen-shot of a tweet because the text is accessible to screen readers. It is an alternative to standard quotation templates because it displays all relevant information about the tweet (date of posting, user's ...
When a message is replied to in e-mail, Internet forums, or Usenet, the original can often be included, or "quoted", in a variety of different posting styles.. The main options are interleaved posting (also called inline replying, in which the different parts of the reply follow the relevant parts of the original post), bottom-posting (in which the reply follows the quote) or top-posting (in ...
In the "Subject/headline" box, type "Response", or some indication of what message your response is to. In the message section, enter one of the following (remember, you are user1): Add the template: {{Response|user1}} Save the page. Wikipedia will notify user2 of having a new message in their talk page. When they visit their talk page, they ...
[1] [2] [3] Users can tweet via the Twitter website, compatible external applications (such as for smartphones), or by Short Message Service (SMS) available in certain countries. [4] Users may subscribe to other users' tweets—this is known as "following" and subscribers are known as "followers" [5] or "tweeps", a portmanteau of Twitter and ...
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The film Twitter take generator parrots a certain kind of internet discourse where director's names are buzzwords and debates about the Marvel Cinematic Universe are seemingly always trending. If ...
A template for citing tweets posted on Twitter. Template parameters [Edit template data] This template has custom formatting. Parameter Description Type Status Tweet number number Numerical ID of the tweet Number required User handle user Twitter account name, without the @ String required Tweet contents title Partial or entire content of the tweet, optionally including hashtags (#), at signs ...
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]