Illustrating Odd Autocompletes
Blatantly copying this post for a #ds106 assignment.
Google Autocomplete is an oracle with strange powers to bring oddities into your life. This assignment asks you to seek out that randomness. Start with a strong phrase (things like “I hate . . .” or “I love . . . ” seem to work well.) and run through the alphabet looking for really odd autocompletes. When you find a good one, screen capture it and create an illustration that represents the search string.
[snap url=”http://bionicteaching.com/trials/markov/” alt=”DS106 Markov Tweet Generator” w=”400″ h=”300″ link=”on”] The following is how I adapted the Markov chain generator from Hay Kranen. Thanks to the commentsComments matter and help stitch together the Internet. I found below Hay’s postwhich is from 2008 I might add- long tail etc. etc. this Markov + Shakespeare version inspired me to figure out the “post-to-Twitter” option.Note to self and other clueless people, urlencode is just a bit easier way to clean up the text than trying to think through a str_replace. That’s a fairly awesome example of the fact that I have no idea what I’m doing. I only happened across that function (?) by chance on some random StackOverflow post and it was as if the world just fell into place. Anyway, the much cleaner version is up and running. It now allows you to push the results to Twitter although I’m still adjusting this a bit. The code for the page I modified is below. It’s still slower than I’d like but it’ll do for now. The fact that I can go from a conversation one day to a fairly finished product the next is the piece that amazes me about computers and the Internet. I cannot stress enough that I don’t know how to write PHP. I feel that’s a statement of […]
In discussing trajectories, elements of engineered serendipity, “thought vectors in concept space” with Gardner and Jon yesterday the following occurred. Gardner shared this video (which is well worth watching and I rarely have the patience for videos). That led to a discussion about creating and using a MOOC/hashtag specific Twitterbot (like horse e-books but realReally fake, I mean. I guess.) using Markov ChainsI’m not really sure if that should be pluralized or not. to create algorithmically driven conversations/connections that occur in the margins of intention and result.There’s a whole additional piece where you think about larger scale curricular design which incorporates random elements and assignments that use algorithms to push people in new directions. That starts to get really interesting. I am considering how the assignment and maybe a browser plugin could create contextual variables based on what site you were on at the moment that would then be incorporated into the larger assignment- kind of a #ds106 remix on contextual steroids. So I began messing with the idea last night. Given I have a completely illusionary knowledge of programming I looked for people to tell me how to do this. I found the metaphor a minute tutorial which will help me out with the Twitterbot end of things in the near future. I also found this PHP based Markov […]
Silhouette Take a silhouette from a movie, fill it with another scene from that movie to create something evocative of both yet entirely new. Pay close attention to the colors you use. To increase difficulty make it monochromatic. -via FFFFound Coupons Re-imagineCopyright Jim Groom key elements/lessons/morals of the movie as coupons. -via SuperPunch Rid the World Think up 12 creative ways to rid the world of your worst enemy. Create media to represent each piece. Don’t limit yourself to 2d or visuals. -via SuperPunch Perspective Use perspective to change the story a photograph tells. CogDog Found this one and couldn’t resist posting it for Alan. Remake a movie in comic format with dogs as the characters. –via Blame it on the Voices