GithubHelp home page GithubHelp logo

frankodey / fake_news_finder Goto Github PK

View Code? Open in Web Editor NEW

This project forked from payamesfandiari/fake_news_finder

0.0 1.0 0.0 54.64 MB

Detecting Fake News

Home Page: https://howfakeisit.herokuapp.com/

Python 10.82% CSS 29.12% HTML 60.06%

fake_news_finder's Introduction

How Fake is it ?

This is the background work behind the website How Fake Is it?. In this project there are two things. Data and Crawlers.

Features of How Fake Is It?

  • Can give you a measurement of how fake a news article is
  • Have collaborative filtering. Users can give scores to News Articles
  • Based on the latest approaches in Machine Learning.

Data

Our data comes from variety of sources. Most of the data have been mined and scrapped from different websites. The other two datasets are from Kaggle and from George McIntire Fake News Dataset.

Crawling CNN,BBC,100FEDUP,FOX,Breitbart News Network

The big part of this Dataset comes from Crawling several websites and using their data for Training the model. The crawlers are included in this package and you can run them yourself. By Using Scrapy, We have downloaded around 50,000 News Article. We have saved the following fields :

  1. Authors
  2. Title
  3. Text of the News
  4. Number of Related Articles
  5. Number of Sources
  6. Number of images
  7. Published Date

These fields has been cleared for usage. The bulk of analysis happens on the Text of the News but Number of Related Articles, Number of Sources and Number of images are also considered.

Kaggle Dataset

This Data is consists of different parts. The first part is Kaggle's Fake News Dataset which is available online. From the explanation of data in the original website :

The dataset contains text and metadata from 244 websites and represents 12,999 posts in total from the past 30 days. The data was pulled using the [webhose.io][4] API; because it's coming from their crawler, not all websites identified by the BS Detector are present in this dataset. Each website was labeled according to the [BS Detector as documented here][5]. Data sources that were missing > a label were simply assigned a label of "bs". There are (ostensibly) no genuine, reliable, or trustworthy news sources represented in > this dataset (so far), so don't trust anything you read.

Fake or Real dataset

This dataset obtained from George McIntire Fake News Dataset. The dataset contains around 11,000 news article classified into two major classes.

fake_news_finder's People

Contributors

payamesfandiari avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.