abhilashreddys/Fake-News-Article
Detecting fake news articles by analyzing patterns in writing.
This project helps journalists, media analysts, or concerned citizens identify potentially fake news articles by analyzing patterns in their writing. You provide the URL of a news article, and it processes the text to determine if it exhibits characteristics commonly found in fake news, providing a likelihood score of it being authentic or fabricated. The tool is designed for anyone needing a quick, initial assessment of an article's credibility.
No commits in the last 6 months.
Use this if you need a quick, automated way to check the authenticity of a news article from a URL based on its writing style.
Not ideal if you require a comprehensive, human-reviewed fact-checking analysis or want to analyze articles from sources not easily scraped from the web.
Stars
10
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 30, 2020
Commits (30d)
0
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