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Using Machine Learning Algorithm to classify fake facebook posts

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FakeFews


### Summary Candidate solution for Facebook's [fake news problem](http://www.newyorker.com/news/news-desk/solving-the-problem-of-fake-news) using machine learning and crowd-sourcing. Takes form of a Chrome extension. Developed in under 24 hours at 2017 [Crimson Code](http://hackathon.eecs.wsu.edu/) hackathon at Washington State University.

Some notes:

  • Python secure server (with classifier and training data) lies in ./server
  • Chrome extension lies in ./client
  • Server, along with training data, is currently stored locally. Plans are to host these on external server soon.
  • Chrome extension is not yet available on Chrome App Store - this is in the works!

Example

Here's an example classification of fake news, as would appear in your Facebook feed:


This work is under a Non-commercial Creative Commons license under the group SlickBits. If you use any part of this code, please add attribution to our team.

License: CC BY-NC 4.0

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Using Machine Learning Algorithm to classify fake facebook posts

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  • Python 59.4%
  • JavaScript 31.0%
  • HTML 7.3%
  • CSS 1.8%
  • Shell 0.5%