DataRep Final : Where is 1.5 – Part 1

On 29 January 2013, the Singapore government released its Population White Paper. It predicted that the population would grow by 30% to 6.9 million by 2030, with immigrants making up majority of that figure. On 16 February 2013, a protest was held against the white paper at the Speaker’s Corner in Hong Lim Park organized by Transitioning.org. It witnessed over 5,000 attendees, making it one of the largest demonstration in Singapore history.

Online-social media became the main platform for local Singaporeans to voice their opposition and grievances over the surge in foreigners in recent years. Majority felt that these sudden influx would put a strain on the existing infrastructure especially transport and property prices as well as weakening the sense of national identity.

Image from http://www.sgag.sg

What is the data?
Data collected from twitter using hashtags #sevenmillioninsingapore, #honglimpark, occupysg

What is the medium?

  1. Stage One – A visualization of 24 hour from protest at Hong Lim Park on 16 Feb 2013.
  2. Stage Two – A visualization of one month before and after the second protest at Hong Lim Park on 1 May 2013.
  3. Stage Three – A data performance using tweets collected from these event to form the script for the play.

What is the question?
How many sides of the story can I reveal from the data set? What are some recurring keywords? Why? When does these sentiments appear? How does main stream and online media cultivate these sentiments? How does sentiments manifest over time?


Inspirations

Live Improvised Performance with Real Time Twitter Feeds
Live twitter updates direct improvised performances. Characters, themes and plots are chosen by searching hashtags; performers then improvise around these updates. http://twittertheatre.co.uk/

2011 Egyptian Revolution
Mohamed Nanabhay and the team at Al Jazeera have been using chartbeat to visualized concurrent traffic during the 18 day revolution

Ghost Counties
An interactive portrait of America by visualizing the 2010 census data by Jan Willem Tulp, a freelance information visualizer based in The Netherlands. Ghost Counties is a visualization developed in Processing which analyzes the numbers of homes and vacant homes in proportion to the population of all counties in the United States of America.

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>