<\/p>\nStephen Fry:<\/h2>\n
<\/strong>
\nTypically voters think he’s a chatbot – if they’re fooled.<\/p>\n
They get him right just under half the time:<\/p>\n
46% spot the celebrity,\u2028but they think he’s a chatbot 40% of the time. For instance:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nMy inaugural toe-dip into The Tweet Test, hours before the rest of you. Like an electronic, online \u00a0Gregor Samsa exploring his new identity.<\/span><\/p>\n83% of voters were fooled by this, and 61% of voters thought it was from a chatbot.<\/p>\n
Tweet:<\/em><\/strong><\/p>\n\u2018We are not interested in the fact that the brain has the consistency of cold porridge.’ Turing has ruined my breakfast.<\/span><\/p>\n60% of voters were fooled by this, and 53% of voters thought it was from a chatbot.<\/p>\n
Though occasionally they think he’s a student:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nLordy! Time to stop playing with my iPad and get to bed. It’s an early start on set tomorrow.<\/span><\/p>\n57% fooled, 21% student < 29% bot<\/p>\n
Occasionally, they are thoroughly confused:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nSearching for some top verbal humour to use to prove I’m not a machine pretending to be a celebrity.<\/span><\/p>\n67% of voters were fooled by this, and while 25% of voters thought it was from a chatbot, 25% thought it was from a student, and 17% thought it was from a teacher!<\/p>\n
Sarah Brown<\/strong><\/h2>\nVoters think she’s a teacher or a chatbot – if they’re fooled.<\/p>\n
They get her right just over half the time:<\/p>\n
51% spot the celebrity, but they think she’s either a teacher or a chatbot 35% of the time. For instance:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nLet’s work together to make sure maternal mortality is a problem of the past and not our families’ future.<\/span><\/p>\n75% of voters were fooled by this, and 50% of voters thought it was from a teacher.<\/p>\n
Tweet:<\/em><\/strong><\/p>\nDid you know, Rwanda is the only nation where women make up majority of parliamentarians? Go Rwanda!<\/span><\/p>\n83% of voters were fooled by this, with 33% thinking it was from a teacher, and 33% thinking it was from a chatbot.<\/p>\n
Student tweets:<\/strong><\/h2>\nAmong the most bamboozling student tweets was this, from a student at Beeslack Community High School:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nThose who look only to the past, or the present, are certain to miss the future. _John F. Kennedy<\/span><\/p>\n90% of voters were fooled, 30% thinking it a teacher, 30% a celebrity, and 30% a chatbot.<\/p>\n
Other successful student tweets:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nI am a celebrity.<\/span><\/p>\nFooled 75% of voters, with 38% voting celebrity, 25% teacher, and 13% chatbot!<\/p>\n
Tweet:<\/em><\/strong><\/p>\ni ar stewdunt<\/span><\/p>\n88% fooled, 88% teacher<\/p>\n
Tweet:<\/em><\/strong><\/p>\nI wonder what position DGS would be in if I wasn’t here.<\/span><\/p>\n100% misleading, 88% teacher > 13% bot\u2028NOBODY said student!<\/p>\n
Tweet:<\/em><\/strong><\/p>\nThis is so un-groovy. My score can’t go up more because nobody can vote and I’m nearly at 30000!!<\/span><\/p>\n88% fooled, 63% teacher > 13% celeb, 13% bot<\/p>\n
Tweet:<\/em><\/strong><\/p>\nIn 10 years time the most difficult thing for children to do will be choosing an original domain name.<\/span><\/p>\n75% of voters were fooled, 63% thinking it a chatbot, 30% a celebrity.<\/p>\n
Tweet:<\/em><\/strong><\/p>\nTyrannosaurus rex had small arms that were extremely powerful and featured two clawed fingers.<\/span><\/p>\n89% fooled, ALL saying teacher<\/p>\n
Tweet:<\/em><\/strong><\/p>\nCharles Babbage, Lucasian Professor of Mathematics at Cambridge from 1828 to 1839, planned such a machine<\/span><\/p>\n67% fooled, 25% teacher, 25% celebrity > 17% bot<\/p>\n
Another student who was good with genuine tweets, did some faking by ripping tweets from the Turing bot:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nHe may also do his multiplications and additions on a “desk machine,” but this is not important.<\/span><\/p>\n100% fooled, 50% teacher, 50% bot\u2028but only 4 votes \u2013 all other remarkable tweets >=8<\/p>\n
Teacher <\/strong><\/h2>\n <\/strong><\/p>\nTweet:<\/em><\/strong><\/p>\nI love mrs collings hair<\/span><\/p>\n89% fooled, ALL saying student<\/p>\n
Tweet:<\/em><\/strong><\/p>\nJamie for Iona too<\/span><\/p>\n89% fooled, ALL saying student<\/p>\n
Viccy Adams, our writer in residence, scored…<\/strong><\/h2>\n <\/strong><\/p>\nTweet:<\/em><\/strong><\/p>\nToday is Damon Albarn’s birthday. Teenage crush (showing my age_)<\/span><\/p>\n100% were fooled, 69% student > 15% teacher, \u202815% bot<\/p>\n
She was mistaken for a bot with:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nIf I dream of electric sheep tonight, does that mean the Tweet Test will have turned me into a cyborg?<\/span><\/p>\n67% fooled, 56% bot > 11% student<\/p>\n
Jon Oberlander<\/strong><\/h2>\nWas in there, and often mistaken for a teacher<\/p>\n
Tweet:<\/em><\/strong><\/p>\nOn this day: it’s 49 years ago today that\u00a0 The Beatles released Please Please Me. Seems like only Yesterday …<\/span><\/p>\n89% fooled, 67% teacher > 22% student<\/p>\n
Tweet:<\/em><\/strong><\/p>\nVia the BBC: “A US patent for self-driving cars has been awarded to Google.” I, for one welcome, our new robot chauffeur overlords.<\/span><\/p>\n67% fooled, 44% teacher > 22% bot<\/p>\n
Occasionally, they thought he was a student!<\/p>\n
Tweet:<\/em><\/strong><\/p>\nVia PCMag: Angry Birds playparks opening in Rovio’s native Finland – UK parks to follow. \u2028Who will be first? Birdston, Stirlingshire?<\/span><\/p>\n73% fooled, 64% student > 9% bot<\/p>\n
Chatbots<\/strong><\/h2>\nChatbots were spotted 75% of the time.<\/p>\n
Tweet:<\/em><\/strong><\/p>\nCharles Babbage, Lucasian Professor of Mathematics at Cambridge from 1828 to 1839, planned such a machine, called the Analytical Engine.<\/span><\/p>\n91% Fooled, 64% student<\/p>\n
And sometimes they were mistaken for teachers:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nOf course electricity usually comes in where fast signalling is concerned, so that it is not surprising that we find it in both.<\/span><\/p>\n81% were fooled, with 44% thinking this came from a teacher.<\/p>\n
And sometimes the chatbots were just confusing:<\/p>\n
Tweet:<\/em><\/strong><\/p>\nSometimes such a machine is described as having free will (though I would not use this phrase myself).<\/span><\/p>\n83% were fooled by this, 44% said student, 22% teacher, and 17% celebrity.<\/p>\n
Conversation:<\/strong><\/h2>\n <\/strong><\/p>\nThe system also enabled users to take part in a conversation with a tweeter to see if they could find out more about their identity:<\/p>\n
\u201cAre you secretly Alan Turing?\u201d<\/span><\/p>\n\u201cI don’t know whether or not I am\u00a0 secretly Alan Turing.\u00a0\u00a0\u00a0 I am\u00a0 a .\u201d<\/span><\/p>\n\u201cYou’re telling me that you’re a full stop?\u201d<\/span><\/p>\n\u201cYou think I am\u00a0 telling you that I am a full stop.\u201d<\/span><\/p>\n\u201cYou’re definitely a bot!\u201d<\/span><\/p>\n\u201cWhat made you think so? I am a .\u201d<\/span><\/p>\nOverall:<\/strong><\/h2>\n\n\n\n| <\/td>\n | \n Spotted<\/strong><\/p>\n<\/td>\n| \n Fooled<\/strong><\/p>\n<\/td>\n<\/tr>\n\n| \n Twitbot<\/strong><\/p>\n<\/td>\n| \n 32%<\/p>\n<\/td>\n | \n 68%<\/p>\n<\/td>\n<\/tr>\n | \n| \n Stephen Fry<\/strong><\/p>\n<\/td>\n| \n 46%<\/p>\n<\/td>\n | \n 54%<\/p>\n<\/td>\n<\/tr>\n | \n| \n Sarah Brown<\/strong><\/p>\n<\/td>\n| \n 51%<\/p>\n<\/td>\n | \n 49%<\/p>\n<\/td>\n<\/tr>\n | \n| \n Jon Oberlander<\/strong><\/p>\n<\/td>\n| \n 75%<\/p>\n<\/td>\n | \n 25%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Scottish senior school pupils took part, tweeting – and voting on who they though tweets really came from. Over the course of a week in March, our system saw 12,000 tweets and 150,000 votes, with contributions from 2 real celebrities, 3 university staff, 4 chatbots, and hundreds of (mostly) S5 senior school pupils from across […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-872","post","type-post","status-publish","format-standard","hentry","category-projects"],"_links":{"self":[{"href":"https:\/\/chrisspeed.net\/index.php?rest_route=\/wp\/v2\/posts\/872","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/chrisspeed.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/chrisspeed.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/chrisspeed.net\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/chrisspeed.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=872"}],"version-history":[{"count":0,"href":"https:\/\/chrisspeed.net\/index.php?rest_route=\/wp\/v2\/posts\/872\/revisions"}],"wp:attachment":[{"href":"https:\/\/chrisspeed.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=872"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/chrisspeed.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=872"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/chrisspeed.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=872"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} | | | | | | |
![\"\"](\"http:\/\/farm8.staticflickr.com\/7195\/6974694568_52654b75f0.jpg\" "\\"alan\\"")
Scottish senior school pupils took part, tweeting – and voting on who they though tweets really came from. Over the course of a week in March, our system saw 12,000 tweets and 150,000 votes, with contributions from 2 real celebrities, 3 university staff, 4 chatbots, and hundreds of (mostly) S5 senior school pupils from across the country. At LateLab’s T100 Twittest night in Inspace, on 11th April at the Edinburgh International Science Festival, we awarded prizes to the winners at faking and spotting fakers, or at just being themselves.<\/p>\n