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README.md

Breaking News

Description

A collection of labeled fake news and real news (top credible news sources from https://webhose.io/) was used to train a Naive Bayes model to predict probabilities of fake news based on article text. The model predicted fake or real with 85% accuracy using ~1,100 articles in our testing set and a training set of ~4,000 articles. We cannot guarantee the correctness of our labels, given the subjectivity of the terms "fake" and "real". Therefore this tool is not a perfect judge of all articles, but can be used as a gentle guide.

Check out our most current model at newsbreakers.herokuapp.com.

Demo

video

Team Members

Accomplishments

  • Seattle Global AI Hackaton Regional Winner June 2017

MIT License

Copyright (c) 2017 Global AI Breaking News Seattle Hackathon Team

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.