FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking

2024/04/30 by Vinay Setty, Setty, Vinay · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques

paper · pdf · doi:10.48550/arxiv.2404.19482

openalex publication_date 2024/04/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We introduce 'FactCheck Editor', an advanced text editor designed to automate fact-checking and correct factual inaccuracies. Given the widespread issue of misinformation, often a result of unintentional mistakes by content creators, our tool aims to address this challenge. It supports over 90 languages and utilizes transformer models to assist humans in the labor-intensive process of fact verification. This demonstration showcases a complete workflow that detects text claims in need of verification, generates relevant search engine queries, and retrieves appropriate documents from the web. It employs Natural Language Inference (NLI) to predict the veracity of claims and uses LLMs to summarize the evidence and suggest textual revisions to correct any errors in the text. Additionally, the effectiveness of models used in claim detection and veracity assessment is evaluated across multiple languages.

Cited by

• ShortCheck: Checkworthiness Detection of Multilingual Short-Form Videos
• Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification

Related

• Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
• OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
• Evaluating open-source Large Language Models for automated fact-checking
• Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
• ClaimCheck: Real-Time Fact-Checking with Small Language Models