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
- 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?