Disruption Finder

Disruption Finder

Organisation: Gunosy (Japan)

Publication Date: 04/22/2018

Description

In the background of the Fake News, there is a problem that the media can not understand the user's preference due to the development of personalization. In other words, the media has not been adapted to the user's disruption due to filter bubbles. Therefore, by developing tools to facilitate discovery and visualization of division, we aim to become a clue to solving problems.

Technologies used for this project:

Python (Django, pandas), SQL, User Data, JavaScript (d3.js, crossfilter.js)

Video

Follow this project
Wait
Comment

Comments (0)

You have to be connected to contribute

You have to be connected to follow

Leave this project and no longer be informed about this project

By joining this project, you will be informed by email when an update or a new contribution is posted on the website.

Thank you for your active participation !
Best,

The GEN Community Team