October 17, 2010
We Read, We Tweet

We Read, We Tweet by Justin Blinder, another language based work however this time not visualised as such, is a Twitter / Google Maps / New York Times mashup work which:

geographically visualizes the dissemination of New York Times articles through Twitter. Each line connects the location of a tweet to the contextual location of the New York Times article it referenced. The lines are generated in a sequence based on the time in which a tweet occurs…The articles and tweets are constantly being aggregated and stored in a database, making use of the Twitter, Backtweets, Google Maps, and New York Times Articles API. Every 10 minutes, the Backtweets API is queried to find the most recent New York Times articles that have been tweeted about. For each article found, the New York Times Articles API is queried and if a contextual location is found, that location is then geocoded using the Google Maps API. Every tweet that mentions this article is also geocoded using the Google Maps API, and both the article and tweets are stored in a database.

    Posted by: Garrett @ 8:14 pm

    No Comments or Pings about “We Read, We Tweet”

    RSS feed for Comments / Pings on this post.

    Don't know what this is? Click here.
    This is a QR Code, it's a printed link to this webpage on Network Research!

    Using a web-enabled mobile phone with built-in camera and QR Code reader software you can photograph this printed page to display the original webpage. For more information on how to do this please see the short article here:

    http://www.asquare.org/networkresearch/resources/qrcode-help

    and download a reader application for your mobile device.
    Creative Commons License
    Except where otherwise noted, all works and documentation on the domain asquare.org are copyright
    Garrett Lynch 2014 and licensed under a Creative Commons Attribution-ShareAlike 3.0 License.
    asquare.org is powered by WordPress