ClaimRank: Detecting Check-Worthy Claims in Arabic and English

04/20/2018
by   Israa Jaradat, et al.
0

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.

READ FULL TEXT

page 3

page 4

research
09/20/2021

What do fact checkers fact-check when?

Recent research suggests that not all fact checking efforts are equal: w...
research
09/19/2021

UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims

Identifying check-worthy claims is often the first step of automated fac...
research
12/16/2022

Check-worthy Claim Detection across Topics for Automated Fact-checking

An important component of an automated fact-checking system is the claim...
research
08/19/2019

It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction

We propose a multi-task deep-learning approach for estimating the check-...
research
06/01/2021

Claim Matching Beyond English to Scale Global Fact-Checking

Manual fact-checking does not scale well to serve the needs of the inter...
research
07/21/2020

Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features

In this digital age of news consumption, a news reader has the ability t...

Please sign up or login with your details

Forgot password? Click here to reset