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Trickle
This performance of Piringer’s video poem “Broe Sell” extends the Lettrist dynamics occurring on screen onto the stage and the dancers. There are two significant props: a white sheet on the ground that may represent a page or screen surface, and a constant trickle of little crumpled pieces of paper falling on a spotlit space in the front of the stage. The dancers act like letters— or better said, letters placed in Piringer’s hand, which leads them to behave much differently from what we’re used to seeing on page or screen. In synch with the music and displayed video poem, the letter-dancers cluster and disperse, articulate their joints, collapse, rise again, and gaze time and again at the paper trickle.
Choreography: Kristina Merrill
Poetry: Joerg Piringer (“Broe Sell”)
Dancers: Jenny Alperin, Andrea Fitzpatrick, Kara Hodges, Stephanie Ohman, Lexi Julian(Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 03.05.2013 - 18:02
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There Are Many Detours Between Information And Instruction
This poem may seem like a simple slideshow that combines text and images but it is built with born-digital materials that have little to do with print culture. The background images are taken from sprites—graphical objects that form part of a program visual design and contain programmed behaviors. Both in its choice of sprites and fonts, the work favors an 8 and 16 bit videogame aesthetic, evidenced by its pixellation and bold fonts. And even though by turning these materials into images, their programmed behaviors are stripped, they retain cultural impact, particularly for those familiar with their provenance. One doesn’t have to be videogame aficionado to appreciate their aesthetics, since a few decades of exposure to these videogame graphics has caused some cultural burn-in, to the point that they’ve become part of our visual and computational vocabulary.
(Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 07.05.2013 - 11:32
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In a World Without Electricity
This is a true story about the untimely death of someone close to the speaker, who seeks to reconstruct the story of her death in a way that can provide closure and hopefully justice. It is also a reflection on analog and digital storytelling and the objects that hold these stories.
The work’s interface displays each portion of this linear narrative as a kind of slideshow, sequentially presenting each piece of the argument and evidence in a way that makes a compelling and moving. In tune with its media, it is very “electric” with plus and minus symbols on the sides of the slideshow (in the shape of a battery) that serve as a navigation interface. The electricity in the title, the battery, shaped interface, the line of ooooooo’s at the base of the slides— which indicates one’s position in the narrative, all seem to symbolically suggest the energy required in a assembling materials and evidence to put together a compelling narrative, one that might lead to an official investigation.
(Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 07.05.2013 - 16:15
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How They Brought the News from Paradise
This narrative poem tells the mock-heroic adventures of an unlikely antihero on an imaginary quest. As Bigelow describes the piece,
In “How They Brought the News from Paradise to Paterson,” a first-person speaker narrates his story (in heroic verse) as he swims from one end of a resort pool complex to another in search of what he thinks is more alcohol, but is in fact a journey to find his marriage
and himself. The poem plays with the epic and tragic within a setting stifled with consumerism and class separation.The poem is structured as the monomyth, in which the speaker, while lounging at the Paradise pool bar in a 5-star resort in Barbados, overhears what he interprets as a call to adventure: the bar has run out of rum. Taking upon himself to embark upon a journey through the pool complex to find the god-like Concierge at the far end, whose “sage advice / and quick, imperious commands” would restore the flow of rum in Paradise.
Hannelen Leirvåg - 07.05.2013 - 16:30
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@crashtxt / exq=.s.te =n.c&de/s
This work consists of a web page with a selected unicode keyboard that allows people to enter symbols into a text submission box which can then be posted to Twitter under the @crashtxt account. Jim Punk is an alias for an anonymous net artist whose work embodies glitch aesthetics and pictorial uses of language and characters, as seen in ascii art. To be precise, this work is a tool for unicode art, strapped on to a social network as a mode for publication, but also as a constraint. It is also an invitation for errors, since compatibility and support for certain Unicode characters vary on different operating systems and browsers. To use this work to write texts for publication in Twitter is to engage a basic component for digital communication: the encoding of writing and its associated symbols in computational environments, which aligns it with some of the goals of Lettrisme. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 07.05.2013 - 18:43
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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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@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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Metaphor-a-Minute
This Twitter bot generates a metaphor every two minutes (in spite of its name, since Twitter places limits on automated posting), and it is more than sufficient. The constraint provides a little breathing room to consider the metaphor before facing a new one. (Source: Leonardo Flores, I ♥ E-Poetry)
Hannelen Leirvåg - 09.05.2013 - 23:07
