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A Twitter bot is a type of software bot that controls a Twitter account via the Twitter API. [1] The social bot software may autonomously perform actions such as tweeting, retweeting, liking, following, unfollowing, or direct messaging other accounts.
X, commonly called under the former name Twitter, is an American microblogging and social networking service on which users post and interact with messages known as "tweets". Registered users can post, like and retweet tweets, and read those that are publicly available.
This is a list of notable Twitter services and applications. Twitter's ecosystem of applications and clients crossed one million registered applications in 2011, [1] up from 150,000 apps in 2010. These Twitter apps were built by more than 750,000 developers around the world. [2] A new app is registered every 1.5 seconds, according to Twitter.
Favstar (also known as favstar.fm) was an online service that tracked Twitter activity, launched in July 2009. Favstar utilized Twitter's API to rank tweets based on popularity metrics such as Favorites and Retweets. The platform gained popularity among users who wanted to see trending tweets and engage with popular content. [2]
A bot is a computer program that can automatically tweet, retweet, and follow other accounts. Twitter's open application programming interface and the availability of cloud servers make it possible for bots to exist within the social networking site. [381]
The following table lists the top 30 most-retweeted posts on X/Twitter, the account that posted or tweeted it, the total number of retweets or reposts rounded down to the nearest hundred thousand, and the date it was originally posted. Posts that have an identical number of reposts are listed in date order with the most recent post ranked highest.
A historical precedent to reblogging is the viral nature of e-mail, as "Internet petitions" and "chain e-mails" which encouraged e-mail users to "resend" the e-mail to at least a minimum number of contacts on one's contact list were highly popular (and highly controversial) in the 1980s and 1990s.
Social media sites, like Twitter, are among the most affected, with CNBC reporting up to 48 million of the 319 million users (roughly 15%) were bots in 2017. [12] Botometer [13] (formerly BotOrNot) is a public Web service that checks the activity of a Twitter account and gives it a score based on how likely the account is to be a bot. The ...