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Twitterbots
The Twitterbots you should be following … Photograph: Twitter Photograph: Twitter
The Twitterbots you should be following … Photograph: Twitter Photograph: Twitter

Eight Twitterbots worth following

This article is more than 9 years old

Many of Twitter’s users are bots, which tweet automatically without human input. Here are eight you should be following

According to Twitter’s own figures, there are significantly more robots on the social media service than there are people in Australia: as many as 8.5% of the firm’s active users are either algorithms or people using apps to aggregate tweets automatically without any human intervention.

Many bots are doing little more than pumping out spam day-in, day-out; but it’s important not to be prejudiced against silicon-based life. Here are eight robot Twitter accounts that are at least as entertaining as your average human user.

Everyword (@everyword)

twitter

— everyword (@everyword) December 13, 2013

The original and best. Created by Adam Parrish in 2007, the bot does one thing and one thing only: tweet a word from the English language every half hour, in alphabetical order. After seven years, Everyword completed its task in June 2014, and promptly started right back at A again.

Two Headlines (@TwoHeadlines)

Google to buy Syria in $3.2 billion deal

— Two Headlines (@TwoHeadlines) January 21, 2014

Created by bot auteur Darius Kazemi, Two Headlines works by taking headlines from Google News, and swapping out the key noun with a different trending topic. The best tweets read like reports from a world “where there is no discernible difference between corporations, nations, sports teams, brands, and celebrities”, Kazemi says. “It is generating jokes about the future: a very specific future dictated by what a Google algorithm believes is important about humans and our affairs.”

Pentametron (@pentametron)

my vision won't become reality

— Danny (@dannytatted) August 12, 2014

These makeup transformations killing me

— Dreadheads (@_ShePrettySmart) August 12, 2014

Pentametron doesn’t write tweets itself; instead, the bot looks for rhyming pairs of tweets written in iambic pentameter, and retweets them both back to back. Reading it is like discovering a lost play from Shakespeare’s highly-strung-teen-on-the-internet phase, and when random chance results in pairs that not only rhyme but also make sense when read together, it’s beautiful.

oliva taters (@oliviataters)

i am the most mature out of everyone in my imaginary circle of friends.

— olivia taters (@oliviataters) June 22, 2014

Olivia Taters is an imaginary teenger who lives on the internet. Created by Rob Dubbin, she’s convincing enough that real teens actually converse with her – and because she replies to messages, those conversations can go on for a long time, without ever really making sense. Her tweets are built from real things being said on Twitter, which allows her to be strangely topical too: just this morning, she joined with much of her generation in mourning the death of Robin Williams.

Robot J McCarthy (@redscarebot)

Quit Stalin RT @mattlester2013: @RyanMalecki man I'm basically a communist!! :/

— Robot J. McCarthy (@RedScareBot) August 12, 2014

Red Scare Bot deserves a place on this list for persistence alone. Since 2009, it has been butting in to any conversation where someone uses the words “socialist” or “communist”, to accuse them of … well, nothing, really. But even if the novelty fades, fast, and you’re eventually forced to block the damn thing just so that you can have conversations about politics in peace, it deserves some credit for having racked up 50,000 inane interventions so far.

Museum Bot (@museumbot)

Another Kazemi bot, Museum Bot was created as a riposte to accounts that tweet poorly sourced images to millions of followers, often with inaccurate captions and no credit given to the original photographer. Museum Bot hooks into the catalogue of New York’s Met Museum, and randomly picks items to tweet. One minute, that’s a terracotta pig; the next, a Japanese Edo woodcut.

Stealth Mountain (@stealthmountain)

@AlexisFanshier I think you mean "sneak peek"

— Stealth Mountain (@StealthMountain) January 14, 2014

Sadly defunct since January 2014, Stealth Mountain’s sole mission was to warn people that they had misspelled the phrase “sneak peek” – assuming, that is, that they didn’t actually mean to refer to a quiet hillock when they wrote “sneak peak”.

Horse ebooks (@Horse_ebooks)

How to Teach a Horse to Sit, Give a Kiss and Give a Hug

— Horse ebooks (@Horse_ebooks) February 6, 2011

Horse eBooks began as a spam account. Tweeting from a computer in Ukraine, the account would send nonsensical snippets taken from a vast corpus of books, occasionally interspersed with links to a shady page where one could buy the ebooks in question. It became a viral hit, with 200,000 people following its strange, broken poetry. But in 2013, a pair of advertising creatives revealed that they had been behind the account for at least two years. Since at least September 2011, they had been pretending to make serendipitous beauty. The world hasn’t been quite the same since.

This article was amended on 13 August 2014. An earlier version said that 23m of Twitter’s users are bots. This has been corrected.

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