Twitter Bot No
How do I know if a account following me is a bot or a person? Bots are small programs that typically perform repetitive, scripted tasks. On Twitter, they are used for a variety of purposes, including for help and harassment. If you post a tweet and get a nearly immediate notification that a new account has replied or is following you, odds are the new follower is a bot programmed to search for posts containing certain keywords. As it searches Twitter for posts that match its keyword list, it may automatically follow or reply to the user who published it. Some Twitter bots tell you they are automated in their handles, but others are not so forthcoming. Credit The New York Times Taking a look at the suspected bot’s profile can also give you a clue.
Accounts sporting generic-looking photos or plain “egg” avatars are often bots, as are those following hundreds of accounts — but with only a few followers of their own. Bots also tend to repeat the same message over and over, which should be evident in the profile’s timeline. Some bots even include the word “bot” in their user names. The bot may be following you in hopes that you will follow it back and therefore be subject to spam tweets, or it may be programmed to glom onto your account if you express certain political views. Twitter to block accounts without user profile photos or verified email addresses;, go into your account settings, select Notifications and then Advanced Filters.
Aug 12, 2017 Bot accounts are a persistent problem on Twitter, where they can be used to spam out favorable news stories and influence politics more broadly. The latest Tweets from No.12 (@bot_no12). これは、チャージマン研！の13話に登場するNo.12のbotです。「No.12！ なさい！」のように. Download twitter-bot for free. This is a very clever twitter-bot written in php. Supports adding rss url to fetsch content and post as a tweet on twitter.
A by researchers at Indiana University and the University of Southern California estimates that between 9 and 15 percent of all active accounts on Twitter are bots. Twitter bots got a bad reputation after an election year filled with heated commentary and the distribution of fraudulent news stories, but not all bots are bad. For example, certain public safety agencies use bots to automatically post.
Some businesses may use automated accounts to handle basic customer service queries.
A Twitter bot is a type of software that controls a Twitter account via the Twitter API. The bot software may autonomously perform actions such as tweeting, retweeting, liking, following, unfollowing, or direct messaging other accounts. The automation of Twitter accounts is governed by a set of automation rules that outline proper and improper uses of automation. Proper usage includes broadcasting helpful information, automatically generating interesting or creative content, and automatically replying to users via direct message.
Improper usage includes circumventing API rate limits, violating user privacy, or spamming. Contents.
Features It is sometimes desirable to identify when a Twitter account is controlled by a bot. In a 2012 paper, Chu et al. Propose the following criteria that indicate that an account may be a bot (they were designing an automated system):.
'Periodic and regular timing' of tweets;. Whether the tweet content contains known spam; and. The ratio of tweets from mobile versus desktop, as compared to an average human Twitter user. Research shows that humans can view Twitterbots as a credible source of information.
Examples. This article may contain, or examples. Please by adding more descriptive text and removing. See Wikipedia's for further suggestions. (April 2017) There are many different types of Twitterbots and their purposes vary from one to another. Some bots may tweet helpful material such as @EarthquakesSF (description below). In total, Twitterbots are estimated to create approximately 24% of tweets that are on Twitter.
Here are examples of some of the Twitterbots and how they interact with users on Twitter. @Betelgeuse3 sends at-replies in response to tweets that include the phrase, 'Beetlejuice, beetlejuice, beetlejuice'. The tweets are sent in the voice of the lead character from the film.
@CongressEdits and @parliamentedits posts whenever someone makes edits to Wikipedia from the US Congress and UK Parliament IP addresses, respectively. @CrowdfundedKill Is a Twitter account for a fake dark-website known as Crowdfunded Kill which facilitates crowdfunded kills of members of the public. @DBZNappa replied with 'WHAT!? NINE THOUSAND?' To anyone on Twitter that used the internet meme phrase 'over 9000'. The account began in 2011, and was eventually suspended in 2015, most likely a victim of its own success.
@DearAssistant sends auto-reply tweets responding to complex queries in simple English by utilizing. Is a, created at, that releases tweets imitating 's speech patterns. It received its namesake from the term 'Donald Drumpf', popularized in the segment ' from the show. @DroptheIBot tweets the message, 'People aren't illegal.
Try saying 'undocumented immigrant' or 'unauthorized immigrant' instead' to Twitter users who have sent a tweet containing the phrase 'illegal immigrant'. It was created by American Fusion.net journalists Jorge Rivas and Patrick Hogan. @EarthquakesSF tweets about earthquakes in the as they happen using real-time seismographic information from the. @everyword has tweeted every word of the English language. It started in 2008 and tweeted every thirty minutes until 2014.
@factbot1 was created by Eric Drass to illustrate what he believed to be a prevalent problem: that of people on the internet believing unsupported facts which accompany pictures. Is a bot that has gained a following among people who found its tweets poetic. It has inspired various ebooks-suffixed Twitter bots which use (or ) to create new tweets by mashing up the tweets of their owner.
@infinitescream tweets and auto-replies a 2-39 character scream. At least partially inspired by 's, it attracted attention from those distressed by the and bad news. @KookyScrit sends auto-reply tweets correcting misspellings of the word 'weird'. @Maskchievous Tweets a random with a random.
@MetaphorMagnet is an AI bot that generates metaphorical insights using its knowledge-base of stereotypical properties and norms. A companion bot @MetaphorMirror pairs these metaphors to news tweets. Another companion bot @BestOfBotWorlds uses metaphor to generate faux-religious insights. @Pentametron finds tweets incidentally written in using the, pairs them into couplets using a, and retweets them as couplets into followers' feeds. @RedScareBot tweets in the persona of in response to Twitter posts mentioning 'socialist', 'communist', or 'communism'. @Tauntbot replies to anyone who mentions it with a randomly generated, verbose insult. It also periodically tweets random taunts at nobody in particular.
@tinycarebot promotes simple self care actions to its followers, such as remembering to look up from your screens, taking a break to go outside, and drink more water. It will also send a self care suggestion if you tweet directly at it. @Wikifinds 'tweets dozens of things that could have their own Wikipedia article if our consciousness could catalogue them', according to Paste Magazine.
Impact Detecting non-human Twitter users has been of interests to academics. Has developed a BotOrNot free service, which scores Twitter handles based on their likelihood of being a Twitterbot. One significant academic study estimated that up to 15% of Twitter users were automated bot accounts. The prevalence of Twitter Bots coupled with the ability of some bots to give seemingly human responses has enabled these non-human accounts to garner widespread influence. Political A subset of Twitter Bots programmed to complete social tasks played an important role in the United States Researchers estimated that pro- bots generated four tweets for every pro- automated account and out-tweeted pro-Clinton bots 7:1 on relevant hashtags during the final debate.
Deceiving twitter bots fooled candidates and campaign staffers into retweeting misappropriated quotes and accounts affiliated with Concerns about political Twitter Bots include the promulgation of malicious content, increased, and the spreading of. Positive Influence Many non-malicious bots are popular for their entertainment value. However, as technology and the creativity of bot-makers improves, so does the potential for Twitterbots that fill social needs. @tinycarebot is a Twitterbot that encourages followers to practice and brands are increasingly using automated Twitterbots to. One anti-bullying organization has created @TheNiceBot, which attempts to combat the prevalence of by automatically tweeting kind messages. Public Figures The majority of Twitter accounts following public figures and brands are often fake or inactive, making the number of Twitter followers a celebrity a difficult metric for gauging popularity. While this cannot always be helped, some public figures who have gained or lost huge quantities of followers in short periods of time have been accused of discreetly paying for Twitter followers.
For example, the Twitter accounts of, Rep (D-Colo), and have come under scrutiny for possibly engaging in the buying and selling of Twitter followers, which is estimated to be between a $40 million and $360 million business annually. Account sellers may charge a premium for more realistic accounts that have Twitter profile pictures and bios and retweet the accounts they follow. In addition to an ego boost, public figures may gain more lucrative endorsement contracts from inflated Twitter metrics.
For brands, however, the translation of online buzz and social media followers into sales has recently come under question after disclosed that a corporate study revealed that social media buzz does not create a spike in short term sales. Twitter contains thousands of fake accounts representing real celebrities; some of these fake unverified accounts have much more than a thousand of followers References. ^ Chu, Zi; Gianvecchio, Steven; Wang, Haining; Jajodia, Sushil (2012). IEEE Transactions on Dependable and Secure Computing.
Retrieved 1 August 2014. Twitter Help Center.
Free Twitter Bot
Retrieved 2017-04-22. Martin Bryant (August 11, 2009). Retrieved August 1, 2014. ^ Protalinski, Emil. The Next Web, Inc.
Retrieved 1 August 2014. David Daw (October 23, 2011). Retrieved May 31, 2012. Retrieved 2017-04-22. Spence, P.R.; Shelton, Ashleigh; Edwards, Chad; Edwards, Autumn (2013).
'Is that a bot running the social media feed? Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter'. 33: 372–376.
CS1 maint: Multiple names: authors list. Cashmore, Pete. Retrieved 19 March 2014. ^ Christine Erickson (July 22, 2012). Retrieved December 28, 2012. Mosendz, Polly.
Retrieved 1 August 2014. Digital Trends. Retrieved 2016-05-24. Bonnie Burton (4 March 2016).
CBS Interactive. Retrieved 4 March 2016. Judah, Sam; Ajala, Hannah (3 August 2015).
Retrieved 3 August 2015. Dubbin, Rob. The New Yorker. Retrieved 9 March 2014.
Twitter Bot Followers
Farrier, John. Retrieved 16 March 2014. (23 February 2012). Retrieved 4 May 2012. Reed, Nora.
^ Adkins, Ariel (26 February 2017). New York Observer. Archived from on 27 February 2017. Grant, Megan. Archived from on 30 March 2017. Listen & Learn.
Retrieved 1 August 2014. Veale, Tony (2015). ICCC-2015: Proceedings of the Sixth International Conference on Computational Creativity. Park City, Utah. Max Read (30 April 2012). Archived from on March 21, 2014. Retrieved 9 March 2016.
Retrieved 2015-10-22. Retrieved 2017-03-12. Dewangan, Madhuri (2016).
International Symposium on Security in Computing and Communication: 450–460. Retrieved 2017-04-13. Music Business Worldwide. Retrieved 2017-04-13.
^ Perlroth, Nicole. Retrieved 2017-04-13. ^ Perlroth, Nicole. Retrieved 2017-04-13. Retrieved 2017-04-18.
Retrieved 2017-04-18. Kose, Dicle; Jari Veijalainen; Alexander Semenov (2016). Proceedings of the 12th International Conference on Web Information Systems and Technologies. Literature. ( ).