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Welcome to the SMAITE project! Visitor Badge

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Assessing the veracity of claims is a vital capability in the modern world, but it is a task that the public is often ill-equipped to do. This is evidenced, for example, in debates around human contribution to climate change, public health policies and political elections. As a result of targeted disinformation campaigns, many users are inadvertently spreading misinformation, without critically reflecting about its sources, as the information is often presented without further context. As experts cannot provide contextualising explanations about the validity of a claim instantaneously, this gives the opportunity to research into automated claim and fact verification approaches.

This tool mimics the work of fact verification journalists, such as those from Full Fact, by generating articles that explain why a claim might be false in human-understandable terms.

The tool is being developed by Aditya Agarwal Linkedin Badge under the supervision of Viktor Schlegel Linkedin Badge and Riza theresa Batista-navarro Linkedin Badge at The Univesity of Manchester.


⚡ Tech Stack

Python Flask React

Heroku Digital Ocean AWS

Material UI GitHub CSS3


⚡ Compiling and Running

To run, use npm start


⚡ Demo

A demo is worth a thousand words - www.smaite.tech



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