- The 20 newsgroups text dataset
- BBC Datasets
- Awesome Public Datasets
- Datasets for Data Mining and Data Science
API Key: 66bef672eac2491f823da48d20cf9b73
Global AI Hackathon Challenges .pdf
TOPIC: Make News Real Again!
Have you ever become frustrated by your inability to tell if the
content (articles, tweets, facebook posts, etc.) you are reading
on the internet is actually real? With so many voices
contributing to the vast quantity of content available on the
internet, how do we know which sources we should trust, and
which to dismiss?
Your challenge is to build a model which will make it easier and
more efficient to identify what really is fake news and what is
not (+ everything in between). You model should be able to
determine a level of credibility, content authenticity, and limit
the viral spread of fake content, including fake images.
Sample Resources/datasets
https://github.com/BuzzFeedNews/2016-10-facebook-fact-check
https://www.kaggle.com/mrisdal/fake-news
Tech Provided:
- NEC Image Object Recognition APIs in your project (not mandatory to use)