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#gifandcircumstance
This bot mines the Twitter stream for phrases starting with “when,” extracts the clauses, and joins each phrase with a randomly selected animated GIF in a Tumblr. Here’s a more detailed description from Parrish’s blog: A “#whatshouldwecallme-style tumblr” is one in which animated GIFs are paired with a title expressing a circumstance or mood—usually a clause beginning with “when.” I wrote a Python script to make these kinds of posts automatically. Here’s what it does: (1) Search Twitter for tweets containing the word “when.” (2) Extract the “when” clause from such tweets. (3) Use Pattern to identify “when” clauses with suitable syntax (i.e., clauses in which a subject directly follows “when”; plus some other heuristic fudging) (4) Post the “when” clause as the title of a tumblr post, along with an animated GIF randomly chosen from the imgur gallery. This is both a critique and homage of the #whatshouldwecallme tumblr and the meme it inspired.
Hannelen Leirvåg - 07.05.2013 - 18:48
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@tonightiate
This bot generate short template based sentences and publish them on Twitter every 10 minutes. With them Schneider demonstrates some of the versatility of the same kind of device when applied to different topics. The bot “@tonightiate,” uses a relatively simple template that produces an obsessive litany of consumption. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 07.05.2013 - 18:57
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@MassageMcLuhan
Schneider’s artist’s statement, offers the source code in addition to this description. I created @massagemcluhan, a bot that would “massage” McLuhan’s quotes—work them over completely, as McLuhan would say. I’ve noticed McLuhan’s penchant for reworking and revisiting phrases (“the medium is the message” and “the medium is the massage” being the most famous), and thought it would be interesting to rework some of these phrases by substituting various nouns into them. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 07.05.2013 - 19:01
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@HaikuD2
This cleverly named bot finds haiku in the twitterverse and republishes them in a recognizable format. The program “runs on @johndburger’s laptop” and even though the code isn’t available, the basic procedure can be inferred from the results as a set of steps: 1: The program uses Twitter API to pull tweets to analyze, filtering out anything that isn’t in English. 2: It uses some sort of library, like the Wordnik API to identify and count the number of syllables in all the words obtaining a total for the tweet. With this procedure, it can identify tweets with exactly 17 syllables. 3: It then determines which of those tweets can be divided into three lines of 5, 7, and 5 syllables without cutting into any words. 4: It formats the results to add: line breaks, a ” •” symbol at the end of the first two lines (to signal line breaks for Twitter clients that don’t support them), attribution to the writer of the original tweet, and the #haiku hashtag. 5: Burger then selects the best haiku or simply posts the raw results (I’m not sure), and manually post or schedules about 6 tweets per day with a 4-5 hour interval between them.
Hannelen Leirvåg - 07.05.2013 - 19:07
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@WPoundstone
On May 21, 2009, following his publisher’s suggestion, William Poundstone started his Twitter account. He seemed unsure what to do with it, as evidenced by his second tweet (a month later), in which he described himself as “an impostor pretending to be a Twitter user.” Two tweets later, on August 9, 2009, he found the concept and constraint that was to shape how he used his Twitter account and made his tweeted: “Anagram Movie Review: INGLOURIOUS BASTERDS = GO INSULT SERIOUS BRAD.” Three and a half years and 785 tweets later, he is still going strong with this idea, only occasionally varying it with a retweet or posting on a topic of his interest. The idea has several layers of complexity. Movie titles are pithy to begin with, attempting to evoke an entire work, including plot, themes, and tone with just a few words. Poundstone then applies the ancient constraint of the anagram to shape his critique of the film. A further limit he places comes from beginning each tweet with “Anagram Movie Review: ” which takes up 21 characters of the 140 allowed by Twitter. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 07.05.2013 - 19:12
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Feral C
This work is a series of live Twitter performances of characters, each of which has an account and interacts in this social network to form what Breeze describes as a “socumentary.” “A “socumentary” is an entertainment form that merges Choose Your Own Adventure /Alternate Reality Drama/Social Game and Social Networking conventions. The result is a type of synthetic mockumentary that exists entirely within social media formats.
Hannelen Leirvåg - 07.05.2013 - 19:17
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Tweet Haikus
This bot data mines a 1% sample of the public Twitter stream to identify tweets that could be considered haiku. It then republishes the result, formatting it as can be seen above, and retweets the original in its Twitter account. The page the haikus are published in uses random background images of nature, a nod towards the seasonal reference so valued in this poetic tradition. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 09.05.2013 - 21:04
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@KarlMarxovChain
The Karl Marxov Chain responds to a word that users (or Pereira) seed it to guide its search through Karl Marx’s publications, as described. When it gets the seed word, it finds it in the text and takes not the next word, but the next two words. The first two words of this 3-gram are first two words of the tweet. It then takes not the last of these words, but the last two and searches the text for that pair of words. Then, of all of the times that those words appear together, it picks one at random, adds the last word to the chain, and then moves up a word. The result is that the probabilities are a bit more constricted, meaning that the tweet conforms a bit more closely to the original text, meaning it ends up sounding a bit more like normal English. The bot also cheats a bit and tries to make “complete” sentences (start with a word that has an initial capital in the source text and end with a period), but it’s not always successful. The source texts are also not the cleanest in the world, so it sometimes hiccups and tosses out typographical gibberish. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 09.05.2013 - 21:23
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@MarkovChainMe
This bot use a Markov chain generator to produce tweets, but distinguish itself from other bots by responding to input from those who interact with it via Twitter. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 09.05.2013 - 21:29
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Sootfall
This literary work created on Twitter could be labelled in different ways— twitfic (or twiction), alternate reality game, netprov, e-lit, e-poetry, or performance— and each label would contribute to an understanding of what this is without wholly capturing what it is. Launched on February 4, 2013, this month-long creative event is now complete. From what I can reconstruct, Gaines, Gass, and the rest of the development team conceptualized the setting, plotted out a timeline, created Twitter accounts for its main characters and launched “Sootfall.” As people found out about the event through social networks, they were able to follow its characters or read the stories as they unfolded around the #sootfall hashtag, a means to identify tweets used in many, but not all entries, because one of the challenges was to make the characters seem real— and why would someone randomly tag their Twitter entries without a plausible reason? Eventually the tag became a tacitly agreed upon way for the characters to refer to the event which was to change their lives so substantially.
Hannelen Leirvåg - 09.05.2013 - 21:36
