Disruption Finder

Disruption Finder

Organisation: Gunosy (Japan)

Publication Date: 04/22/2018


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)


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