othmanelhoufi/LM-for-FactChecking
An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.
This project offers an automated solution for quickly checking the truthfulness of various claims and social media posts. It takes in text-based claims and, using advanced language models, classifies them as true or false (or other relevant categories, depending on the dataset). This tool is for researchers and data scientists who need to assess information reliability at scale across politics, finance, or public health domains.
No commits in the last 6 months.
Use this if you need to automatically classify a large volume of textual claims for veracity, leveraging pre-trained language models for high accuracy.
Not ideal if you're looking for a simple, out-of-the-box fact-checking application that doesn't require technical setup or coding knowledge.
Stars
13
Forks
1
Language
Python
License
MIT
Category
Last pushed
Aug 28, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/othmanelhoufi/LM-for-FactChecking"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Md-Emon-Hasan/InformaTruth
Fine-tuned roberta-base classifier on the LIAR dataset. Aaccepts multiple input types text,...
abhilashreddys/Fake-News-Article
Detecting fake news articles by analyzing patterns in writing.
cleopatra-itn/claim_detection
Code for tasks in the paper "Check\_square at CheckThat! 2020: Claim Detection in Social Media...
Someshog/greenwashing-detection-app
An AI-powered Streamlit web app to detect greenwashing in sustainability claims using DistilBERT...
D1ffic00lt/ai-pastproof
PastProof AI – ML core for automated fact-checking: ingests raw text, finds evidence in a custom...