Scripts & Screenplays

Two examples of data-driven drama

From data to video...

• I love alaska, "The heartbreaking search history of AOL user #711391"
• Epicpedia, by PZI alum Annemieke van der Hoek

Epicpedia

A wikipedia article:

• http://en.wikipedia.org/wiki/Epic_theatre
• http://en.wikipedia.org/wiki/Little_Butte_Creek

and its history:

• http://en.wikipedia.org/w/index.php?title=Epic_theatre&action=history
• http://en.wikipedia.org/w/index.php?title=Little_Butte_Creek&action=history

Wikipedia has an API

http://en.wikipedia.org/w/api.php

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

Feeds & APIs

• Searching twitter
• Wikipedia (http://en.wikipedia.org/w/api.php)

Anatomy of a tweet

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

Videogrep

From SRT to EDL

SubRip Text

48
00:06:13,530 --> 00:06:14,460
lt's about time you got married,

49
00:06:14,530 --> 00:06:18,530
Before you turn into
a lonesome and bitter, old man.

50
00:06:19,730 --> 00:06:21,860
yeah, can't you just see me?

51
00:06:23,000 --> 00:06:25,000
Rushing home to a hot apartment

52
00:06:25,060 --> 00:06:29,060
To listen to the automatic laundry
and the electric dishwasher

53
00:06:29,130 --> 00:06:33,130
And the garbage disposal
and the nagging wife.

http://en.wikipedia.org/wiki/SubRip

grep "\bman\b"

grep "\bwoman\b"

Videogrep