GitHub - numeroteca/pageonex-processing: A tool build in Processing to scrap front page images from newspapers form kiosko.net, download them and build a matrix in .svg to be able to measure the surface dedicated to a a special thread. See examples: http://numeroteca.org/cat/frontpage-newspaper/ + Read README

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A tool build in Processing to scrap front page images from newspapers form kiosko.net, download them and build a matrix in .svg to be able to measure the surface dedicated to a a special thread. See examples: http://numeroteca.org/cat/frontpage-newspaper/ + Read README

numeroteca.org/cat/frontpage-newspaper/

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PageOneX - Follow the news thread
Copyright (C) 2012  pablo rey mazón - [email protected]
 
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the  GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program.  If not, see <http://www.gnu.org/licenses/>.

It is hosted at https://github.com/numeroteca/PageOneX where you can find updates, documentation, tutorials and how-tos.

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PageOneX is a tool build in Processing to scrap newspapers' front pages images from kiosko.net, download them and build a matrix in .svg to be able to measure the surface dedicated to a a special thread.

See examples: http://numeroteca.org/cat/frontpage-newspaper/

An online version of this tool is underway.

Analyzing newspapers’ front pages to interpret the Mainstream Media ecology. Researching the #15M, #Occupy movement and the Arab Spring. Interested in the relationship between Mainstream Media and social Media (twitter).
Post: http://civic.mit.edu/blog/pablo/analyzing-newspapers-front-pages