Faux is a tool aimed to reduce misinformation along the web.
It analyzes texts and headlines to categorize them as fake news, clickbait articles or seemingly-normal-things. On top of that, it provides information about how likely this prediction is based on its source and topic (health, economics, etc).
We've lately seen an increase in misleading information presented as true in the media. This project seeks an easy-access to reliable news and sources for everyone, no matter their previous knowledge or background.
Faux takes news and headlines as input and applies heuristics to classify them. Being a cloud service, it's constantly being updated and refined to achieve the best possible outcome.
Feel free to read a bit more about the project here.