ClaimBuster

Website

ClaimBuster

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.

ClaimBuster is not affiliated with RAND. It was selected for this database because it fits our researchers' inclusion criteria.

Tool type

Verification

Status

Fully operational

Intended users

General public

Cost

Free

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?

Mixed

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