sjapanjots/fake_news_prediction_ml
This project helps to make prediction of fake news by developing a machine learning model using the logistic regression algorithm. The project provides a reliable solution to identify and predict the authenticity of news articles, helping users distinguish between real and fake news sources.
This tool helps journalists, researchers, or general news consumers quickly determine the authenticity of news articles. You input the text of a news article, and it tells you whether the content is likely "real" or "fake." It's designed for anyone who needs to verify information accuracy in a world saturated with misinformation.
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Use this if you need to rapidly check individual news article texts to assess their likely authenticity.
Not ideal if you need to analyze large batches of news articles or require a detailed explanation for why an article was classified as real or fake.
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Last pushed
Jul 16, 2025
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