ni9elf/3HAN
Official code for "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
This project helps anyone concerned with identifying deceptive content by analyzing news articles. It takes an article's headline, sentences, and words as input and outputs a determination of whether the news is likely fake. Social media managers, journalists, and fact-checkers can use this to quickly flag potentially misleading information.
No commits in the last 6 months.
Use this if you need an automated tool to help identify fake news articles by evaluating their structure and content.
Not ideal if you need to analyze content beyond text, such as images or videos, or if you require fine-grained sentiment analysis.
Stars
88
Forks
17
Language
Python
License
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Category
Last pushed
Jun 21, 2018
Commits (30d)
0
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