FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
This tool addresses the widespread issue of misinformation for content creators by automating the labor-intensive fact-checking process, though it appears incremental as it builds on existing transformer and NLI methods.
The researchers tackled the problem of misinformation by developing FactCheck Editor, a multilingual text editor that automates end-to-end fact-checking, supporting over 90 languages and using transformer models to detect claims, verify them via web searches and NLI, and suggest corrections, with evaluations showing effectiveness across multiple languages.
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.