Audience

Journalists, researchers, and individuals looking for a tool to identify and verify factual claims efficiently

About ClaimBuster

ClaimBuster is the umbrella under which all fact-checking related projects for the IDIR Lab fall under. It started as an effort to create an AI model that could automatically detect claims worth checking. Since then it has steadily made progress towards the holy grail of automated fact-checking. ClaimBuster is mainly used by journalists, but in reality, anyone interested in tackling misinformation can make use of it. Our API provides easy access to our models and is accessible by just registering for a free API key. ClaimBuster is made possible by human data-labeling contributions. Feel free to sign up for an account and begin labeling to help us deliver better models. We have also open-sourced our machine learning model training code, so if you are a savvy AI engineer feel free to make contributions there as well. Our claim-spotting model re-tweets tweets it thinks may need fact-checking.

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Integrations

API:
Yes, ClaimBuster offers API access
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Ratings/Reviews

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Company Information

ClaimBuster
Founded: 2015
United States
idir.uta.edu/claimbuster/

Videos and Screen Captures

ClaimBuster Screenshot 1
ClaimBuster Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

ClaimBuster Frequently Asked Questions

Q: What kinds of users and organization types does ClaimBuster work with?
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Q: What kind of support options does ClaimBuster offer?
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Q: Does ClaimBuster have an API?
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ClaimBuster Product Features