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  1. Fred & George

    Fred and George Weasley are the redheaded twins from the Harry Potter series and this poem poses them as lovers, endlessly stroking (etc.) fingers, wands, mouths, etc. and generally engaging in acts considered taboo for siblings in most cultures. This “Taroko Gorge” remix has the distinction of having the shortest data set among the remixes to date, proving that when one wishes to produce an endless poem, size doesn’t matter. More importantly, it concentrates the number of permutations of its elements so while it becomes repetitive sooner, it also takes less time to reach its conceptual climax. (Source: Leonardo Flores, I ♥ E-Poetry)

    Meri Alexandra Raita - 19.02.2012 - 18:19

  2. Yoko Engorged

    This erotically charged generative poem imagines John Lennon and Yoko Ono engaging in endless sexual exploration. This famous couple was controversially open about sexuality, nudity, and used their celebrity to cut through bourgeois prudishness. After Lennon’s death, Yoko Ono continued with her artistic and musical career, with creative practices associated with the Fluxus movement. For example, this poem uses the “audience volunteer(s)” to reference her famous performance piece titled “Cut Piece” in which audience members cut her clothing with scissors until she was naked on stage. This poem is a bold remix of Nick Montfort’s “Taroko Gorge” code, which started as “began with the rather awful titular play on words and just evolved/devolved from there.” (Source: Leonardo Flores, I ♥ E-Poetry)

    Meri Alexandra Raita - 23.02.2012 - 14:40

  3. Algorithmic Poems

    This suite of four poems based on W. C. Handy’s “St. Louis Blues” was written using GTR Language Workbench— a kind of textual Photoshop that allows users to algorithmically select and transform a text.

    (Source: Leonardo Flores, I ♥ E-Poetry)

    Hannelen Leirvåg - 07.05.2013 - 11:45

  4. Essay

    This work of generative Internet art presents an essay to readers that reads like an essay written by a graduate student that has done nothing but read Postmodern theory for years. The result might be brilliant, nonsensical— perhaps both— but it exists on a different reality as the rest of the world’s and is likely to have little impact on anything. You might as well pump all that high theory into a machine and put together a little program to produce some semi-random output from that lexicon and then see if readers will read the results at face value.

    (Source: Leonardo Flores, I ♥ E-Poetry)

    Hannelen Leirvåg - 07.05.2013 - 13:22

  5. Times Haiku

    This program mines articles in the New York Times home page, and using a dictionary and syllable counting algorithm and a few filters, discover sentences that can be cut into the shape of a haiku. The output of this generator is vetted by NY Times journalists, who identify the best ones for publication in the Tumblr blog, after generating background art based on the first line of the haiku.

    (Source: Leonardo Flores, I ♥ E-Poetry)

    Hannelen Leirvåg - 07.05.2013 - 16:47

  6. @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