Trump and bad news. @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 iambic pentameter using the CMU Pronouncing Dictionary, pairs them into couplets using a rhyming dictionary, and retweets them as couplets into followers' feeds. @RedScareBot tweets in the persona of Joseph McCarthy in response to Twitter posts mentioning "socialist", "communist", or "communism". @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. @DisinfoNews Disinformation News Aggregator automatically retweets tweets that shares news articles or scientific work related to disinformation, bots or trolls from experts relevant to those topics. Prevalence In 2009, based on a study by Sysomos, Twitter bots were estimated to create approximately 24% of tweets on Twitter. According to the company, there were 20 million, fewer than 5%, of accounts on Twitter that were fraudulent in 2013. In 2013, two Italian researchers calculated 10 percent of total accounts on Twitter were "bots" although other estimates have placed the figure even higher. One significant academic study in 2017 estimated that up to 15% of Twitter users were automated bot accounts. A 2020 estimate puts the figure at 15% of all accounts or around 48 million accounts. Impact 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. The social implications these Twitter bots potentially have on human perception are sizeable according to a study published by the ScienceDirect Journal. Looking at the Computers as Social Actors (CASA) paradigm, the journal notes, "people exhibit remarkable social reactions to computers and other media, treating them as if they were real people or real places." The study concluded that Twitter bots were viewed as credible and competent in communication and interaction making them suitable for transmitting information in the social media sphere. See also Social bot Devumi References External links Brexit bots (New Scientist) Twitter services and applications Internet bots