stavIatrop/Thesis-Fake-News-Detection
Thesis project concerning classification of true and fake political, gossip world news using Machine Learning and Deep Learning Techniques
This project helps identify whether political, gossip, or world news articles are true or fake. You provide a collection of news articles, and it analyzes their linguistic patterns to classify them as either truthful or deceptive. This tool is designed for researchers, analysts, or anyone studying the spread of misinformation and disinformation in online content.
No commits in the last 6 months.
Use this if you need to compare different machine learning approaches for spotting linguistic differences between real and fake news stories across various datasets.
Not ideal if you're looking for a ready-to-deploy, real-time fake news detection system for live content moderation.
Stars
11
Forks
2
Language
Python
License
MIT
Category
Last pushed
Aug 26, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/stavIatrop/Thesis-Fake-News-Detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mihail911/fake-news
Building a fake news detector from initial ideation to model deployment
google-research/fool-me-twice
Game code and data for Fool Me Twice: Entailment from Wikipedia Gamification...
FakeNewsChallenge/fnc-1-baseline
A baseline implementation for FNC-1
palewire/storysniffer
Inspect a URL and estimate if it contains a news story
IKMLab/CFEVER-data
AAAI-24 CFEVER: A Chinese Fact Extraction and VERification Dataset