Founded in 2017

ClaimBuster is a web-based automated, live fact-checking tool developed by University of Texas at Arlington. The tool relies on natural language processing and supervised learning (based on a human-coded dataset) to identify factual and false information. There is also an app available for Slack.

Tool type
Fully operational
Intended users
General public
Tool focus
This tool is content-focused. It directly evaluates information, such as the authenticity of a photo.
Method or technology
Machine learning and AI
Is the tool automated?
Founding organization
University of Texas at Austin
Founder/primary contact
Naeema Hassan

How is this tool working to address disinformation?

This tool aims to fight disinformation by identifying, exploring, and correcting false information, giving people a resource for locating fact-based information.

Is there a connection with tech platforms?

Yes. Facebook is connected as a funder.

Who is funding the tool?

NSF, Craig Connects, John S. and James L. Knight Foundation, Facebook, Duke University, University of Texas-Arlington

Are there external evaluations?

None found

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examples: Hamilton 2.0, bot detection, fact-checking