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The Longest Poem in the World
This ambitiously titled conceptual poem is generated from Twitter feeds, selected to produce an endless stream of rhyming couplets. As of this posting, the program (developed with MooTools) has generated 1,353,298 verses and continues to generate about 4000 verses each day. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 28.02.2013 - 19:53
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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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@Tempspence
This Twitter character came to life in the “Reality: Being @spenserpratt” netprov, was christened “Tempspence” by Pratt’s followers (as a “temporary” Spencer), and lives on in this Twitter account, along with a community called The Tempspence poets. Their symbiotic existence was sustained by social media interactions of a group of people that came together through this netprov, and extended the life of the performance beyond its metaphorical covers. When “Reality: Being @spencerpratt” ended and everything was revealed, Mark Marino and Rob Wittig did the Twitter equivalent of stepping from behind the curtain to bow and thank the audience, polling them for some of their favorite poetic constraints. The enthusiasm and pleasure in the interactions launched the Tempspence Poets and the poetry games continued in earnest for a while, with @Tempspence as moderator and communication bridge, but it has slowed down almost to a standstill.
Hannelen Leirvåg - 07.05.2013 - 18:06
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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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Thousand Questions
In this work the network asks “If I wrote you a love letter would you write back?” Like the love letters which appeared mysteriously on the noticeboards of Manchester University’s Computer Department in the 1950s, thousands of texts circulate as computational processes perform the questions (perhaps as an expanded Turing test) on its listeners. These questions are extracted in real-time from Twitter with the keyword search of the ‘?’ symbol to create a spatio-temporal experience. The computerized voice the audience hears is a collective one, an entanglement of humans and non-humans, that circulates across networks. If I wrote you a love letter would you write back? (and thousands of other questions’ ) (封不回的情書？千言萬語無人回 was commissioned by the Microwave International New Media Festival 2012.
Sebastian Cortes - 08.09.2016 - 15:48
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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
