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1. 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

2. #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

3. @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

4. 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