Fake-News-Detection and Fake-News-Detector
These are competitors offering similar machine learning approaches to fake news detection, with Project A being more minimalist while Project B provides a more complete end-to-end pipeline with interactive deployment via Streamlit.
About Fake-News-Detection
kapilsinghnegi/Fake-News-Detection
This project detects whether a news is fake or not using machine learning.
This project helps journalists, researchers, or anyone processing news identify misinformation. You input a news article, and it tells you if the article is likely fake or genuine. This is ideal for content moderators, fact-checkers, or media analysts who need to quickly assess the authenticity of news.
About Fake-News-Detector
AmirhosseinHonardoust/Fake-News-Detector
A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web app for real-time credibility analysis. Dataset adapted from Kaggle’s Fake and Real News Dataset.
This tool helps journalists, researchers, or anyone evaluating online content quickly determine if a news article or headline is likely fake or real. You simply input a piece of text, and it classifies it as either "REAL" or "FAKE," along with a probability score. This is designed for individuals who need a fast, preliminary credibility check on news content.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work