Kyle Greenberg
Sharon De La Cruz
Wu Is Back
A Twitter Trigger WU-Tang Juxbox, that rewards Twitter users who #WUTANG and tweet WU Tang Lyrics with a personal WU-Tang animation
http://wutang.kgitp.com
Classes
Introduction to Computational Media
Introduction to Computational Media
The Wu-Tang Clan came together to create one of the most influential Black-Male rap groups of all time. The RZA, the GZA, Ol Dirty Bastard, Inspectah Deck, Raekwon the Chef, U-God, Ghost Face Killer and the Method Man, have been an active collaboration since 1993 and in 2013 celebrated the 20th anniversary of their first album, “36 Chambers”. Cult hits such as “C.R.E.A.M“, “Protect Ya Neck“, “Bring Da Ruckus” came from this album and ever since have brought one of the largest international fan bases today.
There fan base has continued to grow throughout the years, as younger generations of music listeners have come to appreciate the brilliance that is the Wu-Tang Clan and actively show their support on Twitter. Twitter being one of the largest forums of active presentation of one’s self-interest, it was appealing that somewhere in the world a WU-Tang song was being played. The once unnoticed tweets are now triggering and creating a space for the Wu-Tang Community and keep the group’s music ageless.
By working with Twitter4j, a java library for the Twitter API, we made a processing sketch that searches for tweets that contain Wu-Tang Clan lyrics and song titles, run our animation, play the song mentioned in the tweet, and re-tweet the original tweeter with a completed image of our sketch through a Twitter account we made, @Wu_ITP. The user interface is shaped by how the user chooses to interact with the Wu community on Twitter. Their decisions translates the animation and image that is rewarded to them for tweeting a Wu-Tang related topic.
Background
We had to figure out how to trigger and reply with the Twitter API, use multiple strings in one sketch.
Audience
Active Twitter Wu-Tang fans
User Scenario
Processing sketch scrapes Twitter
Sketch finds “#WuTang” + “#CREAM”
Triggers C.R.E.A.M..MP3 in Processing sketch
Sketch animates Wu Tang logo with lyrics
Sketch takes picture of the results
Sends the picture back to user who’s tweet we scrapped, with #WuIsBack and direct them to the project’s website
REPEAT
Implementation
Twitter API, Processing
Conclusion
Local data vs. API data, spammed alot of people on Twitter (but rewarded alot of people on Twitter as well), visualized a personal automatic response for an unheard fanbase
There fan base has continued to grow throughout the years, as younger generations of music listeners have come to appreciate the brilliance that is the Wu-Tang Clan and actively show their support on Twitter. Twitter being one of the largest forums of active presentation of one’s self-interest, it was appealing that somewhere in the world a WU-Tang song was being played. The once unnoticed tweets are now triggering and creating a space for the Wu-Tang Community and keep the group’s music ageless.
By working with Twitter4j, a java library for the Twitter API, we made a processing sketch that searches for tweets that contain Wu-Tang Clan lyrics and song titles, run our animation, play the song mentioned in the tweet, and re-tweet the original tweeter with a completed image of our sketch through a Twitter account we made, @Wu_ITP. The user interface is shaped by how the user chooses to interact with the Wu community on Twitter. Their decisions translates the animation and image that is rewarded to them for tweeting a Wu-Tang related topic.
Background
We had to figure out how to trigger and reply with the Twitter API, use multiple strings in one sketch.
Audience
Active Twitter Wu-Tang fans
User Scenario
Processing sketch scrapes Twitter
Sketch finds “#WuTang” + “#CREAM”
Triggers C.R.E.A.M..MP3 in Processing sketch
Sketch animates Wu Tang logo with lyrics
Sketch takes picture of the results
Sends the picture back to user who’s tweet we scrapped, with #WuIsBack and direct them to the project’s website
REPEAT
Implementation
Twitter API, Processing
Conclusion
Local data vs. API data, spammed alot of people on Twitter (but rewarded alot of people on Twitter as well), visualized a personal automatic response for an unheard fanbase