claimbuster

**ClaimBuster** is an automated system developed at the University of Texas at Arlington that identifies **check-worthy factual claims** in text — the first and crucial step in the automated fact-checking pipeline. It scores sentences based on their likelihood of containing important, verifiable factual claims. **How ClaimBuster Works** - **Input**: Takes text input — a debate transcript, speech, news article, or any text containing potential claims. - **Scoring**: Each sentence receives a **check-worthiness score** from 0 to 1, indicating how likely it is to contain a factual claim that is worth verifying. - **Ranking**: Sentences are ranked by their scores, allowing fact-checkers to focus on the most important claims first. - **Classification**: Sentences are classified into categories — **Non-Factual Sentence (NFS)**, **Unimportant Factual Sentence (UFS)**, and **Check-Worthy Factual Sentence (CFS)**. **Technology** - **Training Data**: Trained on thousands of sentences from US presidential debates, political speeches, and other public discourse, labeled by professional fact-checkers. - **Features**: Uses linguistic features (named entities, numbers, sentiment), structural features (sentence position, length), and contextual features (topic, speaker). - **Models**: Evolved from SVM classifiers to transformer-based models (BERT fine-tuning) for better performance. **Applications** - **Live Debate Monitoring**: Process debate transcripts in real-time to highlight check-worthy claims as they are made. - **News Analysis**: Scan news articles to identify factual claims that should be verified. - **Social Media Monitoring**: Flag viral posts containing check-worthy claims for fact-checker review. - **Fact-Checker Workflow**: Prioritize which claims to check first based on check-worthiness scores. **API and Access** - **ClaimBuster API**: Publicly available API that scores text for check-worthiness. - **Integration**: Can be integrated into newsroom workflows, social media monitoring tools, and fact-checking platforms. **Significance** ClaimBuster addresses a fundamental bottleneck in fact-checking — **there are far more claims made than fact-checkers can verify**. By automatically identifying the most important claims, it helps fact-checkers allocate their limited time to the claims that matter most. ClaimBuster represents an important step toward **scalable fact-checking** — it doesn't verify claims itself but ensures that human fact-checkers focus on what matters.