/fatect-news

Primary LanguageJupyter Notebook

Fake News Automated Detection: Information integrity-aware classification

This repository comprises all the resources associated with a scientific investigation on Fake News automated detection. It is also prepared for open-source computational environments (e.g. mybinder.org), allowing full reproducibility of the experiments and trials conducted during this investigation.

Table of contents

The article

Please see our notebook-based article via this link to Nbviewer. (brazillian portuguese only)

Launching the code associated with this research on a binderhub instance.

Binderhub uses repo2docker for launching and serving the computational environments. The list below contains the known binderhub instances.

The list below provides the badges and the hyperlinks for launching one of the specific interfaces in one of the binderhub instances.

JupyterLab

  • launch @ gke.mybinder.org

  • launch @ ovh.mybinder.org

  • launch @ gesis.org

  • launch @ pangeo.io

Jupyter

  • launch @ gke.mybinder.org

  • launch @ ovh.mybinder.org

  • launch @ gesis.org

  • launch @ pangeo.org

Authors

How to Contribute

There are a few things we would like to accomplish with the project. We would like to make faketect become a stable building for everyone in the community. If you are interested in making this version more robust and adding some cool features, feel free to submit a receipt request. #ShareIsCaring

Pull Request Template:

What is this PR for?

What type of PR is it? [Bug Fix] or [Feature Request]

How should this be tested? Specific steps, configs and images if available

Questions:

  • Do the licenses files need update? No
  • Are there breaking changes for older versions? No
  • Does this needs documentation? No

Resources

Datasets:

Dataset