Scripts & Screenplays

From XPUB & Lens-Based wiki

Scripts

Scripts have a variety of applications with regard to narrative/image:

  • Process the pixels of a video [1]
  • Assistant editor: Generate one or more edits,
  • Respond to (live) input (data, user interaction)
  • Assemble various forms of data to create new narratives

Examples of data-driven drama

From text to video...

  • I love alaska, "The heartbreaking search history of AOL user #711391"
  • Videogrep Subtitles + Search = Automatic Edit
  • Epicpedia, by PZI alum Annemieke van der Hoek

Epicpedia

A wikipedia article:

and its history:

Wikipedia has an API

Every Mediawiki (by default) supports the API:

Etiquette

WikipediaAPIEtiquette.png

API

URL Structure:

 http://en.wikipedia.org/w/api.php
 ?
 titles=Epic_theatre
 action=query
 rvlimit=10
 prop=revisions
 format=json
 rvprop=user|timestamp|content|comment

becomes:

http://en.wikipedia.org/w/api.php?titles=Epic_theatre&action=query&rvlimit=10&prop=revisions&format=json&rvprop=user%7Ctimestamp%7Ccontent%7Ccomment

JSONView

Browser extensions that specifically handle JSON are handy!

http://addons.mozilla.org/nl/firefox/addon/jsonview/

JSON Response

WikipediaEpicTheatre.png

Twitter

http://dev.twitter.com/

RSS

http://sociable.co/social-media/twitter-hasnt-killed-rss-just-yet-heres-how-to-find-your-twitter-feed-rss-url/

Welcome to the new API

TwitterAPI11.png

https://dev.twitter.com/docs/faq#10659 October 2012

Bad Authentication data

Twittersearchapichange.png

https://api.twitter.com/1.1/search/tweets.json?q=%23man

Rules of the Road

TwitterDevelopersRulesOfTheRoad.png

https://dev.twitter.com/apps/new October 2012

Anatomy of a tweet

Map-of-a-tweet.png

http://www.readwriteweb.com/archives/this_is_what_a_tweet_looks_like.php?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+readwriteweb+%28ReadWriteWeb%29&utm_content=Google+Reader

Assignment

Without using code, find a feed/data API of interest and make a mockup/prototype using (solely) the data it contains. The emphasis here is to focus on revealing something interesting in the data that is not necessarily evident in a public / "normal" view of that same data. On the basis of your mockup, you will then make a plan for realizing the sketch in code in the coming week.