Skip to content
Check whether a news article is fake or not!
Python HTML CSS Makefile
Branch: master
Clone or download
Latest commit ff17762 Feb 5, 2018
Type Name Latest commit message Commit time
Failed to load latest commit information.
FakeNews Add files via upload Jan 28, 2018
src Add files via upload Jan 28, 2018
Documentation.pdf Add files via upload Jan 28, 2018
LICENSE Create LICENSE Feb 5, 2018
Makefile Add files via upload Jan 28, 2018

Made by Niladri Shekhar Dutt, Rounak Dutta, Arko Chatterjee and Saurav Saha

SRM IET Hackathon 2018 | Team 10 - NightOwls - The project won the 2nd place at SRM IET Hackathon 2018

Demo video

Problem Statement

Often sensational news is created and spread through social media to achieve intended end. On the other hand, it may also involve narration of a true fact however being deliberately exaggerated. This may also affect the importance of serious news media. The problem is to identify the authenticity of the news and online content. Equally important problem is to identify the bots involved in spreading false news.

Alt Text


  • The problem can be broken down into 3 statements :-

    1. Use NLP to check the authenticity of a news article.

    2. If the user has a query about the authenticity of a search query then he/she can directly search on our platform and using our custom algorithm we output a confidence score.

    3. Check the authenticity of a news source.

  1. Articles can be analyzed by feeding them to a machine learning model (Passive Aggressive Classifier) which predicts the genuinity of the content after it's trained through predefined datasets of classified real vs fake news.
  2. Search terms can be analyzed by doing a Google search (first 100 entries) and and ensuring if the news corresponding to the keywords have been covered by reliable news sources and aggregators. For every search term covered by a reliable news source it recieves a score of +1, while we heavily penalize fake sources. If multiple fake sources cover the news then we penalize the truth score even harder. We also look for keywords like 'hoax', 'fake', etc in the payload content.
  3. An URL (news source) can be analyzed if it's authentic by checking it in our database of true news provider and false news provider.


When the fake-news detector is hosted locally / on a cloud platform, it can predict fake news with reasonable accuracy. Since edge cases of fake-news detection are controversial, the tool outputs a probability percentage instead of a rigid label.



This will start the local server at localhost:8000.

Deps: sklearn, pandas, django, requests, bs4

Alt Text

You can’t perform that action at this time.