ClaimRank: Detecting Check-Worthy Claims in Arabic and English

TL;DR

ClaimRank is an online system that detects check-worthy claims in Arabic and English, trained on diverse fact-checking data to prioritize claims for manual verification across various text sources.

Contribution

It introduces a multilingual, adaptable system for identifying check-worthy claims, trained on annotations from multiple reputable fact-checking organizations.

Findings

Supports both Arabic and English texts

Trained on data from nine fact-checking organizations

Can prioritize claims for manual fact-checking

Abstract

We present ClaimRank, an online system for detecting check-worthy claims. While originally trained on political debates, the system can work for any kind of text, e.g., interviews or regular news articles. Its aim is to facilitate manual fact-checking efforts by prioritizing the claims that fact-checkers should consider first. ClaimRank supports both Arabic and English, it is trained on actual annotations from nine reputable fact-checking organizations (PolitiFact, FactCheck, ABC, CNN, NPR, NYT, Chicago Tribune, The Guardian, and Washington Post), and thus it can mimic the claim selection strategies for each and any of them, as well as for the union of them all.