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  1. Any Vision

    This work is published as a video documentation of a simultaneously analog and digital poem— an instance of extreme inscription as described by Matthew Kirschenbaum. Written on a semiconductor alloy with “a focus GA ion beam” at font sizes much smaller than a pixel, requiring an electron microscope with magnification “ranges from 400x all the way to 10000x.” The naked eye cannot read this poem unaided, so the video takes us through an edited journey into the poem’s text reminiscent of Prezi, but much cooler in its materiality. (Source: Leonardo Flores, I ♥ E-Poetry)

    Hannelen Leirvåg - 07.05.2013 - 11:52

  2. @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

  3. @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

  4. Willy Shakes

    “Willy Shakes” was programmed by Joshua Strebel in 2009 and set into motion publishing the complete works of William Shakespeare on Twitter, calculating that “every 10 minutes a new line, 24/7/365. Should take about 2 years, 13 days… and finish around August 24th 2011.” (Source: Leonardo Flores, I ♥ E-Poetry)

    Hannelen Leirvåg - 09.05.2013 - 23:17

  5. Walt Whitman

    “Walt Whitman” isn’t a bot, it is a constraint an anonymous scholar took on: to tweet a portion from the 1855 edition of Leaves of Grass (almost) every day, sequentially from beginning to end, over and over. I use the word “scholar” because of the foregrounding and choice of edition (which edition of Shakespeare is Strebel using?) and the method of the constraint which forces the scholar to read each line when cutting and pasting it. This discipline has the powerful impact of keeping the scholar’s mind focused on this poet’s work on a daily basis, re-discovering Whitman’s poetry over time, and gaining insight in the process. (Source: Leonardo Flores, I ♥ E-Poetry)

    Hannelen Leirvåg - 09.05.2013 - 23:24

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