Abhinav1004/Fake-News-Stance-Detection
Checks for the Stance detection in a unlabeled news dataset.
This project helps journalists, fact-checkers, and researchers automatically determine the relationship between a news headline and its corresponding article. You provide a headline and an article text, and it classifies whether the article agrees with, disagrees with, discusses, or is unrelated to the headline. This allows users to quickly identify potential fake news or biased reporting.
No commits in the last 6 months.
Use this if you need to quickly assess the consistency between a news headline and its body content for many articles.
Not ideal if you require a comprehensive analysis of news veracity beyond just the headline-article relationship.
Stars
13
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 06, 2021
Commits (30d)
0
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