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Debasheesh Parveen and Ariadna Alfil
These two “Facebots” (Facebook bots) were created in the last days of 2009 and quickly began to make friends, post images, and make cryptic status updates, commenting on each other’s updates. They started a relationship on January 13, 2010 and got married (that is, changed their relationship status to “married” on Facebook) on March 21, 2010. Ever since they have both been making status updates automatically every hour, (Ariadna every 2 hours) using the algorithm described below:
Debasheesh Parveen is one of the 99 Sacred Names of the Internet. It is also an algorithm:
1. Debasheesh Parveen takes a random news headline from the Al Jazeera feed.
2. The headline is distorted using a text-manipulation algorithm.
3. One of the words of the headline is chosen to search for an image on the Internet.
4. The headline and the image are posted to Debasheesh Parveen’s Facebook profile.This happens automatically, at regular intervals.
Quoted from I ♥ E-Poetry entry and Tisselli's description.
Leonardo Flores - 12.03.2013 - 18:14
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Rapbot
This poetry generator uses the Wordnik library’s recent rhyming functionality as dataset suitable for creating rhyming couplets in the ’80s freestyle rap tradition.
Leonardo Flores - 13.03.2013 - 12:09
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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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@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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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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A Bot Sampler in Two Voices
This 8-10 minute performance will feature two persons reading from a selection of bot generated output. The readers will choose several bots to read aloud, and will read them back and forth to produce a conversation between bots, much as might happen on Twitter. The resulting juxtapositions should be both humorous and thought-provoking, with the individual readers’ voices lending continuity to the bots. For variety and emphasis, there will be a few moments in the performance in which one reader focuses on the text generated by a single bot, in the tradition of a solo riff. (Source: ELO 2015 Conference Catalog)
Hannah Ackermans - 30.11.2015 - 07:38
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poem.exe
poem.exe is a micropoetry bot, assembling haiku-like poems throughout the day and publishing them on Twitter and Tumblr. It uses an Oulipo technique based on Raymond Queneau’s A Hundred Thousand Billion Poems. Verses are selected at random from a collection of a few hundred, and a single line is taken from each one to produce a new poem. After assembling a poem in this way, the program looks for seasonal references and uses these to decide whether to publish or reject the poem. The bulk of the corpus it reads from consists of translated haiku by Kobayashi Issa; as a result, many of the poems are coloured by Issa’s personality, in particular his fondness for snails.
Aspasia Manara - 22.09.2016 - 16:05
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ELC3 Bot
This bot is a tool designed to help readers explore the Electronic Literature Collection, Volume 3. Created with Cheap Bots, Done Quick!, a free bot hosting service powered by Tracery, an intuitive JavaScript library developed by Kate Compton, PhD. The bot currently tweets a suggested work from the ELC3 every 3 hours, linking to the work and adding the #ELC3 hashtag. Its Twitter account also compiles two lists of bots: a complete list of its 11 bots and one without Real Human Praise, which posts too frequently to allow readers to appreciate the other bots. Future development of this bot will include random suggestions based on ELC3 metadata, such as keywords, language, location, year, and we may even add some interactivity so it can respond to queries. In the meantime, follow this bot to receive suggestions of works to explore in the ELC3.
Eirik Tveit - 18.10.2016 - 14:45
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Station 51000
This bot draws from a NOAA (National Oceanic and Atmospheric Administration) buoy which gathers oceanic and atmospheric data and mashes it up with text from Moby Dick. The buoy became unmoored on March 10, 2013 and was set adrift—still transmitting data—in the Pacific Ocean until found on November 4, 2015. The result of combining snippets of live data from this floating bot with text from Moby Dick grounds its maritime language in a real and changing yet geographically distant and indeterminate present. Surf this bot’s poetic wanderings to explore real and imagined seas. (Source: Editorial Statement from the works collection site)
Sebastian Cortes - 18.10.2016 - 14:49
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Real Human Praise
This bot draws snippets of positive reviews from Rotten Tomatoes (a film and TV review aggregator), changes the director or producer’s name to a Fox News anchor or personality, and tweets it every two minutes. This Twitter account and bot were produced by The Colbert Report as a response to the news that Fox News publicists had thousands of fake social media accounts to try to spin any postings or comments against their news channel. By recontextualizing praise for film and television performances, narrative, and directorial style, as well as adding the #PraiseFOX hashtag, this overwhelmingly frequent, positive praise comes across as ironic and absurd. Its output also serves as a kind of subtweet because whenever anyone searches for one of the Fox News personalities on Twitter they’re likely to get many “Real Human Praise.” Following this bot may prove to be too much for readers because its frequent endless tweeting will certainly accelerate the current in your Twitter stream.
Eirik Tveit - 18.10.2016 - 15:18
